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Beyond Pairwise: Provably Fast Algorithms for Approximate k-Way Similarity Search
Anshumali Shrivastava and Ping Li
Advances in Neural Information Processing Systems 26, 2013


Reservoir Boosting : Between Online and Offline Ensemble Learning
Leonidas Lefakis and Françcois Fleuret
Advances in Neural Information Processing Systems 26, 2013


Direct 0-1 Loss Minimization and Margin Maximization with Boosting
Shaodan Zhai, Tian Xia, Ming Tan and Shaojun Wang
Advances in Neural Information Processing Systems 26, 2013


Parametric Task Learning
Ichiro Takeuchi, Tatsuya Hongo, Masashi Sugiyama and Shinichi Nakajima
Advances in Neural Information Processing Systems 26, 2013


Learning Feature Selection Dependencies in Multi-task Learning
Daniel Hernández-lobato and José M. Hernández-lobato
Advances in Neural Information Processing Systems 26, 2013


Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms
Yu Zhang
Advances in Neural Information Processing Systems 26, 2013


Reshaping Visual Datasets for Domain Adaptation
Boqing Gong, Kristen Grauman and Fei Sha
Advances in Neural Information Processing Systems 26, 2013


Transfer Learning in a Transductive Setting
Marcus Rohrbach, Sandra Ebert and Bernt Schiele
Advances in Neural Information Processing Systems 26, 2013


Fast Template Evaluation with Vector Quantization
Mohammad A. Sadeghi and David Forsyth
Advances in Neural Information Processing Systems 26, 2013


Deep Neural Networks for Object Detection
Christian Szegedy, Alexander Toshev and Dumitru Erhan
Advances in Neural Information Processing Systems 26, 2013


Learning invariant representations and applications to face verification
Qianli Liao, Joel Z. Leibo and Tomaso Poggio
Advances in Neural Information Processing Systems 26, 2013


Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies
Yangqing Jia, Joshua T. Abbott, Joseph Austerweil, Thomas Griffiths and Trevor Darrell
Advances in Neural Information Processing Systems 26, 2013


DeViSE: A Deep Visual-Semantic Embedding Model
Andrea Frome, Greg S. Corrado, Jon Shlens, Samy Bengio, Jeff Dean, Marc'aurelio Ranzato and Tomas Mikolov
Advances in Neural Information Processing Systems 26, 2013


Optimal integration of visual speed across different spatiotemporal frequency channels
Matjaz Jogan and Alan Stocker
Advances in Neural Information Processing Systems 26, 2013


Mid-level Visual Element Discovery as Discriminative Mode Seeking
Carl Doersch, Abhinav Gupta and Alexei A. Efros
Advances in Neural Information Processing Systems 26, 2013


Modeling Clutter Perception using Parametric Proto-object Partitioning
Chen-ping Yu, Wen-yu Hua, Dimitris Samaras and Greg Zelinsky
Advances in Neural Information Processing Systems 26, 2013


Non-Linear Domain Adaptation with Boosting
Carlos J. Becker, Christos M. Christoudias and Pascal Fua
Advances in Neural Information Processing Systems 26, 2013


Decision Jungles: Compact and Rich Models for Classification
Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John Winn and Antonio Criminisi
Advances in Neural Information Processing Systems 26, 2013


Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation
Vibhav Vineet, Carsten Rother and Philip Torr
Advances in Neural Information Processing Systems 26, 2013


Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization
Nataliya Shapovalova, Michalis Raptis, Leonid Sigal and Greg Mori
Advances in Neural Information Processing Systems 26, 2013


Action from Still Image Dataset and Inverse Optimal Control to Learn Task Specific Visual Scanpaths
Stefan Mathe and Cristian Sminchisescu
Advances in Neural Information Processing Systems 26, 2013


What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach
Zhenwen Dai, Georgios Exarchakis and Jörg Lücke
Advances in Neural Information Processing Systems 26, 2013


Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections
Matthew Lawlor and Steven W. Zucker
Advances in Neural Information Processing Systems 26, 2013


Learning the Local Statistics of Optical Flow
Dan Rosenbaum, Daniel Zoran and Yair Weiss
Advances in Neural Information Processing Systems 26, 2013


Learning a Deep Compact Image Representation for Visual Tracking
Naiyan Wang and Dit-yan Yeung
Advances in Neural Information Processing Systems 26, 2013


Reward Mapping for Transfer in Long-Lived Agents
Xiaoxiao Guo, Satinder Singh and Richard L. Lewis
Advances in Neural Information Processing Systems 26, 2013


Approximate Dynamic Programming Finally Performs Well in the Game of Tetris
Victor Gabillon, Mohammad Ghavamzadeh and Bruno Scherrer
Advances in Neural Information Processing Systems 26, 2013


DESPOT: Online POMDP Planning with Regularization
Adhiraj Somani, Nan Ye, David Hsu and Wee S. Lee
Advances in Neural Information Processing Systems 26, 2013


Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result
Paul Wagner
Advances in Neural Information Processing Systems 26, 2013


Policy Shaping: Integrating Human Feedback with Reinforcement Learning
Shane Griffith, Kaushik Subramanian, Jonathan Scholz, Charles Isbell and Andrea L. Thomaz
Advances in Neural Information Processing Systems 26, 2013


Adaptive Step-Size for Policy Gradient Methods
Matteo Pirotta, Marcello Restelli and Luca Bascetta
Advances in Neural Information Processing Systems 26, 2013


(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband, Dan Russo and Benjamin V. Roy
Advances in Neural Information Processing Systems 26, 2013


Projected Natural Actor-Critic
Philip S. Thomas, William C. Dabney, Stephen Giguere and Sridhar Mahadevan
Advances in Neural Information Processing Systems 26, 2013


Reinforcement Learning in Robust Markov Decision Processes
Shiau H. Lim, Huan Xu and Shie Mannor
Advances in Neural Information Processing Systems 26, 2013


Bellman Error Based Feature Generation using Random Projections on Sparse Spaces
Mahdi M. Fard, Yuri Grinberg, Amir M. Farahmand, Joelle Pineau and Doina Precup
Advances in Neural Information Processing Systems 26, 2013


Context-sensitive active sensing in humans
Sheeraz Ahmad, He Huang and Angela J. Yu
Advances in Neural Information Processing Systems 26, 2013


Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting
Shunan Zhang and Angela J. Yu
Advances in Neural Information Processing Systems 26, 2013


Learning Trajectory Preferences for Manipulators via Iterative Improvement
Ashesh Jain, Brian Wojcik, Thorsten Joachims and Ashutosh Saxena
Advances in Neural Information Processing Systems 26, 2013


Variational Policy Search via Trajectory Optimization
Sergey Levine and Vladlen Koltun
Advances in Neural Information Processing Systems 26, 2013


Probabilistic Movement Primitives
Alexandros Paraschos, Christian Daniel, Jan Peters and Gerhard Neumann
Advances in Neural Information Processing Systems 26, 2013


A multi-agent control framework for co-adaptation in brain-computer interfaces
Josh S. Merel, Roy Fox, Tony Jebara and Liam Paninski
Advances in Neural Information Processing Systems 26, 2013


On model selection consistency of penalized M-estimators: a geometric theory
Jason Lee, Yuekai Sun and Jonathan E. Taylor
Advances in Neural Information Processing Systems 26, 2013


A\ast Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables
Jing Xiang and Seyoung Kim
Advances in Neural Information Processing Systems 26, 2013


Sparse Inverse Covariance Estimation with Calibration
Tuo Zhao and Han Liu
Advances in Neural Information Processing Systems 26, 2013


Tracking Time-varying Graphical Structure
Erich Kummerfeld and David Danks
Advances in Neural Information Processing Systems 26, 2013


Factorized Asymptotic Bayesian Inference for Latent Feature Models
Kohei Hayashi and Ryohei Fujimaki
Advances in Neural Information Processing Systems 26, 2013


Estimating the Unseen: Improved Estimators for Entropy and other Properties
Paul Valiant and Gregory Valiant
Advances in Neural Information Processing Systems 26, 2013


Geometric optimisation on positive definite matrices for elliptically contoured distributions
Suvrit Sra and Reshad Hosseini
Advances in Neural Information Processing Systems 26, 2013


Mapping paradigm ontologies to and from the brain
Yannick Schwartz, Bertrand Thirion and Gael Varoquaux
Advances in Neural Information Processing Systems 26, 2013


Extracting regions of interest from biological images with convolutional sparse block coding
Marius Pachitariu, Adam M. Packer, Noah Pettit, Henry Dalgleish, Michael Hausser and Maneesh Sahani
Advances in Neural Information Processing Systems 26, 2013


Training and Analysing Deep Recurrent Neural Networks
Michiel Hermans and Benjamin Schrauwen
Advances in Neural Information Processing Systems 26, 2013


Learning word embeddings efficiently with noise-contrastive estimation
Andriy Mnih and Koray Kavukcuoglu
Advances in Neural Information Processing Systems 26, 2013


A Novel Two-Step Method for Cross Language Representation Learning
Min Xiao and Yuhong Guo
Advances in Neural Information Processing Systems 26, 2013


Lexical and Hierarchical Topic Regression
Viet-an Nguyen, Jordan Boyd-graber and Philip Resnik
Advances in Neural Information Processing Systems 26, 2013


Parallel Sampling of DP Mixture Models using Sub-Cluster Splits
Jason Chang and John Iii
Advances in Neural Information Processing Systems 26, 2013


Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent
Yuening Hu, Jordan Boyd-graber, Hal D. Iii and Z. I. Ying
Advances in Neural Information Processing Systems 26, 2013


First-order Decomposition Trees
Nima Taghipour, Jesse Davis and Hendrik Blockeel
Advances in Neural Information Processing Systems 26, 2013


Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation
Bogdan Savchynskyy, Jörg H. Kappes, Paul Swoboda and Christoph Schnörr
Advances in Neural Information Processing Systems 26, 2013


Learning Gaussian Graphical Models with Observed or Latent FVSs
Ying Liu and Alan Willsky
Advances in Neural Information Processing Systems 26, 2013


Analyzing the Harmonic Structure in Graph-Based Learning
Xiao-ming Wu, Zhenguo Li and Shih-fu Chang
Advances in Neural Information Processing Systems 26, 2013


Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic
James L. Sharpnack, Akshay Krishnamurthy and Aarti Singh
Advances in Neural Information Processing Systems 26, 2013


Scalable kernels for graphs with continuous attributes
Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen D. Bruijne and Karsten Borgwardt
Advances in Neural Information Processing Systems 26, 2013


Conditional Random Fields via Univariate Exponential Families
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen and Zhandong Liu
Advances in Neural Information Processing Systems 26, 2013


On Poisson Graphical Models
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen and Zhandong Liu
Advances in Neural Information Processing Systems 26, 2013


High-Dimensional Gaussian Process Bandits
Josip Djolonga, Andreas Krause and Volkan Cevher
Advances in Neural Information Processing Systems 26, 2013


Online Learning with Switching Costs and Other Adaptive Adversaries
Nicolò Cesa-bianchi, Ofer Dekel and Ohad Shamir
Advances in Neural Information Processing Systems 26, 2013


The Pareto Regret Frontier
Wouter M. Koolen
Advances in Neural Information Processing Systems 26, 2013


Online Learning with Costly Features and Labels
Navid Zolghadr, Gabor Bartok, Russell Greiner, András György and Csaba Szepesvari
Advances in Neural Information Processing Systems 26, 2013


Minimax Optimal Algorithms for Unconstrained Linear Optimization
Brendan Mcmahan and Jacob Abernethy
Advances in Neural Information Processing Systems 26, 2013


Optimization, Learning, and Games with Predictable Sequences
Sasha Rakhlin and Karthik Sridharan
Advances in Neural Information Processing Systems 26, 2013


Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising
Min Xu, Tao Qin and Tie-yan Liu
Advances in Neural Information Processing Systems 26, 2013


Convergence of Monte Carlo Tree Search in Simultaneous Move Games
Viliam Lisy, Vojta Kovarik, Marc Lanctot and Branislav Bosansky
Advances in Neural Information Processing Systems 26, 2013


Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs
Liam C. Macdermed and Charles Isbell
Advances in Neural Information Processing Systems 26, 2013


Symbolic Opportunistic Policy Iteration for Factored-Action MDPs
Aswin Raghavan, Roni Khardon, Alan Fern and Prasad Tadepalli
Advances in Neural Information Processing Systems 26, 2013


Learning Adaptive Value of Information for Structured Prediction
David J. Weiss and Ben Taskar
Advances in Neural Information Processing Systems 26, 2013


On Algorithms for Sparse Multi-factor NMF
Siwei Lyu and Xin Wang
Advances in Neural Information Processing Systems 26, 2013


Documents as multiple overlapping windows into grids of counts
Alessandro Perina, Nebojsa Jojic, Manuele Bicego and Andrzej Truski
Advances in Neural Information Processing Systems 26, 2013


Sparse Additive Text Models with Low Rank Background
Lei Shi
Advances in Neural Information Processing Systems 26, 2013


The Randomized Dependence Coefficient
David Lopez-paz, Philipp Hennig and Bernhard Schölkopf
Advances in Neural Information Processing Systems 26, 2013


One-shot learning and big data with n=2
Lee H. Dicker and Dean P. Foster
Advances in Neural Information Processing Systems 26, 2013


Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA
Vincent Q. Vu, Juhee Cho, Jing Lei and Karl Rohe
Advances in Neural Information Processing Systems 26, 2013


Online PCA for Contaminated Data
Jiashi Feng, Huan Xu, Shie Mannor and Shuicheng Yan
Advances in Neural Information Processing Systems 26, 2013


Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis
James R. Voss, Luis Rademacher and Mikhail Belkin
Advances in Neural Information Processing Systems 26, 2013


Probabilistic Principal Geodesic Analysis
Miaomiao Zhang and P.t. Fletcher
Advances in Neural Information Processing Systems 26, 2013


The Fast Convergence of Incremental PCA
Akshay Balsubramani, Sanjoy Dasgupta and Yoav Freund
Advances in Neural Information Processing Systems 26, 2013


Online Robust PCA via Stochastic Optimization
Jiashi Feng, Huan Xu and Shuicheng Yan
Advances in Neural Information Processing Systems 26, 2013


Robust Transfer Principal Component Analysis with Rank Constraints
Yuhong Guo
Advances in Neural Information Processing Systems 26, 2013


Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization
Julien Mairal
Advances in Neural Information Processing Systems 26, 2013


One-shot learning by inverting a compositional causal process
Brenden M. Lake, Ruslan Salakhutdinov and Josh Tenenbaum
Advances in Neural Information Processing Systems 26, 2013


Rapid Distance-Based Outlier Detection via Sampling
Mahito Sugiyama and Karsten Borgwardt
Advances in Neural Information Processing Systems 26, 2013


Unsupervised Structure Learning of Stochastic And-Or Grammars
Kewei Tu, Maria Pavlovskaia and Song-chun Zhu
Advances in Neural Information Processing Systems 26, 2013


q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions
Assaf Glazer, Michael Lindenbaum and Shaul Markovitch
Advances in Neural Information Processing Systems 26, 2013


Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking
Ryan D. Turner, Steven Bottone and Clay J. Stanek
Advances in Neural Information Processing Systems 26, 2013


Robust Data-Driven Dynamic Programming
Grani A. Hanasusanto and Daniel Kuhn
Advances in Neural Information Processing Systems 26, 2013


Solving inverse problem of Markov chain with partial observations
Tetsuro Morimura, Takayuki Osogami and Tsuyoshi Ide
Advances in Neural Information Processing Systems 26, 2013


Which Space Partitioning Tree to Use for Search?
Parikshit Ram and Alexander Gray
Advances in Neural Information Processing Systems 26, 2013


Synthesizing Robust Plans under Incomplete Domain Models
Tuan A. Nguyen, Subbarao Kambhampati and Minh Do
Advances in Neural Information Processing Systems 26, 2013


Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion
Franz Kiraly and Louis Theran
Advances in Neural Information Processing Systems 26, 2013


What do row and column marginals reveal about your dataset?
Behzad Golshan, John Byers and Evimaria Terzi
Advances in Neural Information Processing Systems 26, 2013


Multilinear Dynamical Systems for Tensor Time Series
Mark Rogers, Lei Li and Stuart Russell
Advances in Neural Information Processing Systems 26, 2013


A Latent Source Model for Nonparametric Time Series Classification
George H. Chen, Stanislav Nikolov and Devavrat Shah
Advances in Neural Information Processing Systems 26, 2013


Locally Adaptive Bayesian Multivariate Time Series
Daniele Durante, Bruno Scarpa and David Dunson
Advances in Neural Information Processing Systems 26, 2013


Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent
Tianbao Yang
Advances in Neural Information Processing Systems 26, 2013


Sketching Structured Matrices for Faster Nonlinear Regression
Haim Avron, Vikas Sindhwani and David Woodruff
Advances in Neural Information Processing Systems 26, 2013


Density estimation from unweighted k-nearest neighbor graphs: a roadmap
Ulrike V. Luxburg and Morteza Alamgir
Advances in Neural Information Processing Systems 26, 2013


Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search
Aijun Bai, Feng Wu and Xiaoping Chen
Advances in Neural Information Processing Systems 26, 2013


Thompson Sampling for 1-Dimensional Exponential Family Bandits
Nathaniel Korda, Emilie Kaufmann and Remi Munos
Advances in Neural Information Processing Systems 26, 2013


Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards
Thomas Bonald and Alexandre Proutiere
Advances in Neural Information Processing Systems 26, 2013


Prior-free and prior-dependent regret bounds for Thompson Sampling
Sebastien Bubeck and Che-yu Liu
Advances in Neural Information Processing Systems 26, 2013


Sequential Transfer in Multi-armed Bandit with Finite Set of Models
Mohammad G. Azar, Alessandro Lazaric and Emma Brunskill
Advances in Neural Information Processing Systems 26, 2013


Faster Ridge Regression via the Subsampled Randomized Hadamard Transform
Yichao Lu, Paramveer Dhillon, Dean P. Foster and Lyle Ungar
Advances in Neural Information Processing Systems 26, 2013


New Subsampling Algorithms for Fast Least Squares Regression
Paramveer Dhillon, Yichao Lu, Dean P. Foster and Lyle Ungar
Advances in Neural Information Processing Systems 26, 2013


A Comparative Framework for Preconditioned Lasso Algorithms
Fabian L. Wauthier, Nebojsa Jojic and Michael Jordan
Advances in Neural Information Processing Systems 26, 2013


Adaptivity to Local Smoothness and Dimension in Kernel Regression
Samory Kpotufe and Vikas Garg
Advances in Neural Information Processing Systems 26, 2013


Predictive PAC Learning and Process Decompositions
Cosma Shalizi and Aryeh Kontorovitch
Advances in Neural Information Processing Systems 26, 2013


Statistical Active Learning Algorithms
Maria-florina Balcan and Vitaly Feldman
Advances in Neural Information Processing Systems 26, 2013


Moment-based Uniform Deviation Bounds for k-means and Friends
Matus Telgarsky and Sanjoy Dasgupta
Advances in Neural Information Processing Systems 26, 2013


Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel
Tai Qin and Karl Rohe
Advances in Neural Information Processing Systems 26, 2013


Learning Multiple Models via Regularized Weighting
Daniel Vainsencher, Shie Mannor and Huan Xu
Advances in Neural Information Processing Systems 26, 2013


Multiclass Total Variation Clustering
Xavier Bresson, Thomas Laurent, David Uminsky and James V. Brecht
Advances in Neural Information Processing Systems 26, 2013


Distributed k-means and k-median clustering on general topologies
Maria-florina Balcan, Steven Ehrlich and Yingyu Liang
Advances in Neural Information Processing Systems 26, 2013


k-Prototype Learning for 3D Rigid Structures
Hu Ding, Ronald Berezney and Jinhui Xu
Advances in Neural Information Processing Systems 26, 2013


Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How and Lawrence Carin
Advances in Neural Information Processing Systems 26, 2013


Summary Statistics for Partitionings and Feature Allocations
Isik B. Fidaner and Taylan Cemgil
Advances in Neural Information Processing Systems 26, 2013


Dirty Statistical Models
Eunho Yang and Pradeep Ravikumar
Advances in Neural Information Processing Systems 26, 2013


Designed Measurements for Vector Count Data
Liming Wang, David Carlson, Miguel Rodrigues, David Wilcox, Robert Calderbank and Lawrence Carin
Advances in Neural Information Processing Systems 26, 2013


Spike train entropy-rate estimation using hierarchical Dirichlet process priors
Karin C. Knudson and Jonathan W. Pillow
Advances in Neural Information Processing Systems 26, 2013


It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
Barbara Rakitsch, Christoph Lippert, Karsten Borgwardt and Oliver Stegle
Advances in Neural Information Processing Systems 26, 2013


Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
Michalis Titsias and Miguel Lazaro-gredilla
Advances in Neural Information Processing Systems 26, 2013


Efficient Optimization for Sparse Gaussian Process Regression
Yanshuai Cao, Marcus A. Brubaker, David Fleet and Aaron Hertzmann
Advances in Neural Information Processing Systems 26, 2013


Multi-Task Bayesian Optimization
Kevin Swersky, Jasper Snoek and Ryan P. Adams
Advances in Neural Information Processing Systems 26, 2013


Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
Roger Frigola, Fredrik Lindsten, Thomas B. Schon and Carl Rasmussen
Advances in Neural Information Processing Systems 26, 2013


Gaussian Process Conditional Copulas with Applications to Financial Time Series
José M. Hernández-lobato, James R. Lloyd and Daniel Hernández-lobato
Advances in Neural Information Processing Systems 26, 2013


Robust Bloom Filters for Large MultiLabel Classification Tasks
Moustapha M. Cisse, Nicolas Usunier, Thierry Arti\`eres and Patrick Gallinari
Advances in Neural Information Processing Systems 26, 2013


On Flat versus Hierarchical Classification in Large-Scale Taxonomies
Rohit Babbar, Ioannis Partalas, Eric Gaussier and Massih-reza Amini
Advances in Neural Information Processing Systems 26, 2013


B-test: A Non-parametric, Low Variance Kernel Two-sample Test
Wojciech Zaremba, Arthur Gretton and Matthew Blaschko
Advances in Neural Information Processing Systems 26, 2013


Robust Low Rank Kernel Embeddings of Multivariate Distributions
Le Song and Bo Dai
Advances in Neural Information Processing Systems 26, 2013


Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators
Michel Besserve, Nikos K. Logothetis and Bernhard Schölkopf
Advances in Neural Information Processing Systems 26, 2013


Latent Maximum Margin Clustering
Guang-tong Zhou, Tian Lan, Arash Vahdat and Greg Mori
Advances in Neural Information Processing Systems 26, 2013


A New Convex Relaxation for Tensor Completion
Bernardino Romera-paredes and Massimiliano Pontil
Advances in Neural Information Processing Systems 26, 2013


Learning Multi-level Sparse Representations
Ferran D. Andilla and Fred A. Hamprecht
Advances in Neural Information Processing Systems 26, 2013


Sign Cauchy Projections and Chi-Square Kernel
Ping Li, Gennady Samorodnitsk and John Hopcroft
Advances in Neural Information Processing Systems 26, 2013


Low-rank matrix reconstruction and clustering via approximate message passing
Ryosuke Matsushita and Toshiyuki Tanaka
Advances in Neural Information Processing Systems 26, 2013


Learning with Noisy Labels
Nagarajan Natarajan, Inderjit Dhillon, Pradeep Ravikumar and Ambuj Tewari
Advances in Neural Information Processing Systems 26, 2013


Efficient Online Inference for Bayesian Nonparametric Relational Models
Dae I. Kim, Prem Gopalan, David Blei and Erik Sudderth
Advances in Neural Information Processing Systems 26, 2013


Translating Embeddings for Modeling Multi-relational Data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-duran, Jason Weston and Oksana Yakhnenko
Advances in Neural Information Processing Systems 26, 2013


Learning to Pass Expectation Propagation Messages
Nicolas Heess, Daniel Tarlow and John Winn
Advances in Neural Information Processing Systems 26, 2013


Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering
Shinichi Nakajima, Akiko Takeda, S. D. Babacan, Masashi Sugiyama and Ichiro Takeuchi
Advances in Neural Information Processing Systems 26, 2013


Integrated Non-Factorized Variational Inference
Shaobo Han, Xuejun Liao and Lawrence Carin
Advances in Neural Information Processing Systems 26, 2013


Variational Planning for Graph-based MDPs
Qiang Cheng, Qiang Liu, Feng Chen and Alex Ihler
Advances in Neural Information Processing Systems 26, 2013


Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions
Tamir Hazan, Subhransu Maji, Joseph Keshet and Tommi Jaakkola
Advances in Neural Information Processing Systems 26, 2013


Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition
Tzu-kuo Huang and Jeff Schneider
Advances in Neural Information Processing Systems 26, 2013


Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests
Yacine Jernite, Yonatan Halpern and David Sontag
Advances in Neural Information Processing Systems 26, 2013


Causal Inference on Time Series using Restricted Structural Equation Models
Jonas Peters, Dominik Janzing and Bernhard Schölkopf
Advances in Neural Information Processing Systems 26, 2013


Transportability from Multiple Environments with Limited Experiments
Elias Bareinboim, Sanghack Lee, Vasant Honavar and Judea Pearl
Advances in Neural Information Processing Systems 26, 2013


Real-Time Inference for a Gamma Process Model of Neural Spiking
David Carlson, Vinayak Rao, Joshua T. Vogelstein and Lawrence Carin
Advances in Neural Information Processing Systems 26, 2013


RNADE: The real-valued neural autoregressive density-estimator
Benigno Uria, Iain Murray and Hugo Larochelle
Advances in Neural Information Processing Systems 26, 2013


Compete to Compute
Rupesh K. Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino Gomez and Jürgen Schmidhuber
Advances in Neural Information Processing Systems 26, 2013


Capacity of strong attractor patterns to model behavioural and cognitive prototypes
Abbas Edalat
Advances in Neural Information Processing Systems 26, 2013


Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems
Hesham Mostafa, Lorenz. K. Mueller and Giacomo Indiveri
Advances in Neural Information Processing Systems 26, 2013


Multisensory Encoding, Decoding, and Identification
Aurel A. Lazar and Yevgeniy Slutskiy
Advances in Neural Information Processing Systems 26, 2013


Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively
Wenhao Zhang and Si Wu
Advances in Neural Information Processing Systems 26, 2013


Perfect Associative Learning with Spike-Timing-Dependent Plasticity
Christian Albers, Maren Westkott and Klaus Pawelzik
Advances in Neural Information Processing Systems 26, 2013


Firing rate predictions in optimal balanced networks
David G. Barrett, Sophie Den\`eve and Christian K. Machens
Advances in Neural Information Processing Systems 26, 2013


Neural representation of action sequences: how far can a simple snippet-matching model take us?
Cheston Tan, Jedediah M. Singer, Thomas Serre, David Sheinberg and Tomaso Poggio
Advances in Neural Information Processing Systems 26, 2013


A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data
Jasper Snoek, Richard Zemel and Ryan P. Adams
Advances in Neural Information Processing Systems 26, 2013


Universal models for binary spike patterns using centered Dirichlet processes
Il M. Park, Evan W. Archer, Kenneth Latimer and Jonathan W. Pillow
Advances in Neural Information Processing Systems 26, 2013


Nonparametric Multi-group Membership Model for Dynamic Networks
Myunghwan Kim and Jure Leskovec
Advances in Neural Information Processing Systems 26, 2013


Bayesian Hierarchical Community Discovery
Charles Blundell and Yee W. Teh
Advances in Neural Information Processing Systems 26, 2013


Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
Edoardo M. Airoldi, Thiago B. Costa and Stanley H. Chan
Advances in Neural Information Processing Systems 26, 2013


Wavelets on Graphs via Deep Learning
Raif Rustamov and Leonidas Guibas
Advances in Neural Information Processing Systems 26, 2013


Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions
Ari Pakman and Liam Paninski
Advances in Neural Information Processing Systems 26, 2013


Flexible sampling of discrete data correlations without the marginal distributions
Alfredo Kalaitzis and Ricardo Silva
Advances in Neural Information Processing Systems 26, 2013


Analyzing Hogwild Parallel Gaussian Gibbs Sampling
Matthew Johnson, James Saunderson and Alan Willsky
Advances in Neural Information Processing Systems 26, 2013


Machine Teaching for Bayesian Learners in the Exponential Family
Xiaojin Zhu
Advances in Neural Information Processing Systems 26, 2013


Phase Retrieval using Alternating Minimization
Praneeth Netrapalli, Prateek Jain and Sujay Sanghavi
Advances in Neural Information Processing Systems 26, 2013


Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors
Xiaoqin Zhang, Di Wang, Zhengyuan Zhou and Yi Ma
Advances in Neural Information Processing Systems 26, 2013


Distributed Submodular Maximization: Identifying Representative Elements in Massive Data
Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar and Andreas Krause
Advances in Neural Information Processing Systems 26, 2013


Optimistic Concurrency Control for Distributed Unsupervised Learning
Xinghao Pan, Joseph E. Gonzalez, Stefanie Jegelka, Tamara Broderick and Michael Jordan
Advances in Neural Information Processing Systems 26, 2013


Large Scale Distributed Sparse Precision Estimation
Huahua Wang, Arindam Banerjee, Cho-jui Hsieh, Pradeep Ravikumar and Inderjit Dhillon
Advances in Neural Information Processing Systems 26, 2013


Near-Optimal Entrywise Sampling for Data Matrices
Dimitris Achlioptas, Zohar S. Karnin and Edo Liberty
Advances in Neural Information Processing Systems 26, 2013


Memory Limited, Streaming PCA
Ioannis Mitliagkas, Constantine Caramanis and Prateek Jain
Advances in Neural Information Processing Systems 26, 2013


Variance Reduction for Stochastic Gradient Optimization
Chong Wang, Xi Chen, Alex Smola and Eric Xing
Advances in Neural Information Processing Systems 26, 2013


Stochastic Optimization of PCA with Capped MSG
Raman Arora, Andy Cotter and Nati Srebro
Advances in Neural Information Processing Systems 26, 2013


Adaptive dropout for training deep neural networks
Jimmy Ba and Brendan Frey
Advances in Neural Information Processing Systems 26, 2013


Top-Down Regularization of Deep Belief Networks
Hanlin Goh, Nicolas Thome, Matthieu Cord and Joo-hwee Lim
Advances in Neural Information Processing Systems 26, 2013


Robust Image Denoising with Multi-Column Deep Neural Networks
Forest Agostinelli, Michael R. Anderson and Honglak Lee
Advances in Neural Information Processing Systems 26, 2013


Discriminative Transfer Learning with Tree-based Priors
Nitish Srivastava and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 26, 2013


Reasoning With Neural Tensor Networks for Knowledge Base Completion
Richard Socher, Danqi Chen, Christopher D. Manning and Andrew Ng
Advances in Neural Information Processing Systems 26, 2013


Zero-Shot Learning Through Cross-Modal Transfer
Richard Socher, Milind Ganjoo, Christopher D. Manning and Andrew Ng
Advances in Neural Information Processing Systems 26, 2013


Learning Stochastic Feedforward Neural Networks
Yichuan Tang and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 26, 2013


Predicting Parameters in Deep Learning
Misha Denil, Babak Shakibi, Laurent Dinh, Marc'aurelio Ranzato and Nando D. Freitas
Advances in Neural Information Processing Systems 26, 2013


Multi-Prediction Deep Boltzmann Machines
Ian Goodfellow, Mehdi Mirza, Aaron Courville and Yoshua Bengio
Advances in Neural Information Processing Systems 26, 2013


Generalized Denoising Auto-Encoders as Generative Models
Yoshua Bengio, Li Yao, Guillaume Alain and Pascal Vincent
Advances in Neural Information Processing Systems 26, 2013


Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs
Yann Dauphin and Yoshua Bengio
Advances in Neural Information Processing Systems 26, 2013


Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado and Jeff Dean
Advances in Neural Information Processing Systems 26, 2013


On the Representational Efficiency of Restricted Boltzmann Machines
James Martens, Arkadev Chattopadhya, Toniann Pitassi and Richard Zemel
Advances in Neural Information Processing Systems 26, 2013


A Deep Architecture for Matching Short Texts
Zhengdong Lu and Hang Li
Advances in Neural Information Processing Systems 26, 2013


Learning to Prune in Metric and Non-Metric Spaces
Leonid Boytsov and Bilegsaikhan Naidan
Advances in Neural Information Processing Systems 26, 2013


The Power of Asymmetry in Binary Hashing
Behnam Neyshabur, Nati Srebro, Ruslan Salakhutdinov, Yury Makarychev and Payman Yadollahpour
Advances in Neural Information Processing Systems 26, 2013


A message-passing algorithm for multi-agent trajectory planning
Jose Bento, Nate Derbinsky, Javier Alonso-mora and Jonathan S. Yedidia
Advances in Neural Information Processing Systems 26, 2013


Similarity Component Analysis
Soravit Changpinyo, Kuan Liu and Fei Sha
Advances in Neural Information Processing Systems 26, 2013


A Stability-based Validation Procedure for Differentially Private Machine Learning
Kamalika Chaudhuri and Staal A. Vinterbo
Advances in Neural Information Processing Systems 26, 2013


Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation
John Duchi, Martin J. Wainwright and Michael Jordan
Advances in Neural Information Processing Systems 26, 2013


(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings
Abhradeep G. Thakurta and Adam Smith
Advances in Neural Information Processing Systems 26, 2013


Efficient Algorithm for Privately Releasing Smooth Queries
Ziteng Wang, Kai Fan, Jiaqi Zhang and Liwei Wang
Advances in Neural Information Processing Systems 26, 2013


Learning Prices for Repeated Auctions with Strategic Buyers
Kareem Amin, Afshin Rostamizadeh and Umar Syed
Advances in Neural Information Processing Systems 26, 2013


Computing the Stationary Distribution Locally
Christina E. Lee, Asuman Ozdaglar and Devavrat Shah
Advances in Neural Information Processing Systems 26, 2013


Fast Determinantal Point Process Sampling with Application to Clustering
Byungkon Kang
Advances in Neural Information Processing Systems 26, 2013


Contrastive Learning Using Spectral Methods
James Y. Zou, Daniel Hsu, David C. Parkes and Ryan P. Adams
Advances in Neural Information Processing Systems 26, 2013


A Gang of Bandits
Nicolò Cesa-bianchi, Claudio Gentile and Giovanni Zappella
Advances in Neural Information Processing Systems 26, 2013


Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms
Adrien Todeschini, Françcois Caron and Marie Chavent
Advances in Neural Information Processing Systems 26, 2013


Deep content-based music recommendation
Aaron Oord, Sander Dieleman and Benjamin Schrauwen
Advances in Neural Information Processing Systems 26, 2013


When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements
Divyanshu Vats and Richard Baraniuk
Advances in Neural Information Processing Systems 26, 2013


Supervised Sparse Analysis and Synthesis Operators
Pablo Sprechmann, Roee Litman, Tal B. Yakar, Alexander M. Bronstein and Guillermo Sapiro
Advances in Neural Information Processing Systems 26, 2013


Manifold-based Similarity Adaptation for Label Propagation
Masayuki Karasuyama and Hiroshi Mamitsuka
Advances in Neural Information Processing Systems 26, 2013


Correlated random features for fast semi-supervised learning
Brian Mcwilliams, David Balduzzi and Joachim Buhmann
Advances in Neural Information Processing Systems 26, 2013


Speedup Matrix Completion with Side Information: Application to Multi-Label Learning
Miao Xu, Rong Jin and Zhi-hua Zhou
Advances in Neural Information Processing Systems 26, 2013


Generalized Random Utility Models with Multiple Types
Hossein A. Soufiani, Hansheng Diao, Zhenyu Lai and David C. Parkes
Advances in Neural Information Processing Systems 26, 2013


Generalized Method-of-Moments for Rank Aggregation
Hossein A. Soufiani, William Chen, David C. Parkes and Lirong Xia
Advances in Neural Information Processing Systems 26, 2013


Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions
Eftychios A. Pnevmatikakis and Liam Paninski
Advances in Neural Information Processing Systems 26, 2013


Robust learning of low-dimensional dynamics from large neural ensembles
David Pfau, Eftychios A. Pnevmatikakis and Liam Paninski
Advances in Neural Information Processing Systems 26, 2013


Optimal Neural Population Codes for High-dimensional Stimulus Variables
Zhuo Wang, Alan Stocker and Daniel Lee
Advances in Neural Information Processing Systems 26, 2013


Spectral methods for neural characterization using generalized quadratic models
Il M. Park, Evan W. Archer, Nicholas Priebe and Jonathan W. Pillow
Advances in Neural Information Processing Systems 26, 2013


Bayesian inference for low rank spatiotemporal neural receptive fields
Mijung Park and Jonathan W. Pillow
Advances in Neural Information Processing Systems 26, 2013


Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream
Daniel L. Yamins, Ha Hong, Charles Cadieu and James J. Dicarlo
Advances in Neural Information Processing Systems 26, 2013


An Approximate, Efficient LP Solver for LP Rounding
Srikrishna Sridhar, Stephen Wright, Christopher Re, Ji Liu, Victor Bittorf and Ce Zhang
Advances in Neural Information Processing Systems 26, 2013


Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions
Rishabh K. Iyer, Stefanie Jegelka and Jeff A. Bilmes
Advances in Neural Information Processing Systems 26, 2013


Reflection methods for user-friendly submodular optimization
Stefanie Jegelka, Francis Bach and Suvrit Sra
Advances in Neural Information Processing Systems 26, 2013


Solving the multi-way matching problem by permutation synchronization
Deepti Pachauri, Risi Kondor and Vikas Singh
Advances in Neural Information Processing Systems 26, 2013


Convex Relaxations for Permutation Problems
Fajwel Fogel, Rodolphe Jenatton, Francis Bach and Alexandre D. Aspremont
Advances in Neural Information Processing Systems 26, 2013


Convex Tensor Decomposition via Structured Schatten Norm Regularization
Ryota Tomioka and Taiji Suzuki
Advances in Neural Information Processing Systems 26, 2013


Cluster Trees on Manifolds
Sivaraman Balakrishnan, Srivatsan Narayanan, Alessandro Rinaldo, Aarti Singh and Larry Wasserman
Advances in Neural Information Processing Systems 26, 2013


Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation
Martin Azizyan, Aarti Singh and Larry Wasserman
Advances in Neural Information Processing Systems 26, 2013


When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
Anima Anandkumar, Daniel Hsu, Majid Janzamin and Sham M. Kakade
Advances in Neural Information Processing Systems 26, 2013


Scalable Inference for Logistic-Normal Topic Models
Jianfei Chen, June Zhu, Zi Wang, Xun Zheng and Bo Zhang
Advances in Neural Information Processing Systems 26, 2013


Streaming Variational Bayes
Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C. Wilson and Michael Jordan
Advances in Neural Information Processing Systems 26, 2013


Relevance Topic Model for Unstructured Social Group Activity Recognition
Fang Zhao, Yongzhen Huang, Liang Wang and Tieniu Tan
Advances in Neural Information Processing Systems 26, 2013


A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks
Junming Yin, Qirong Ho and Eric Xing
Advances in Neural Information Processing Systems 26, 2013


Modeling Overlapping Communities with Node Popularities
Prem Gopalan, Chong Wang and David Blei
Advances in Neural Information Processing Systems 26, 2013


Online Learning of Dynamic Parameters in Social Networks
Shahin Shahrampour, Sasha Rakhlin and Ali Jadbabaie
Advances in Neural Information Processing Systems 26, 2013


Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions
Yasin Abbasi-yadkori, Peter Bartlett, Varun Kanade, Yevgeny Seldin and Csaba Szepesvari
Advances in Neural Information Processing Systems 26, 2013


Online learning in episodic Markovian decision processes by relative entropy policy search
Alexander Zimin and Gergely Neu
Advances in Neural Information Processing Systems 26, 2013


Aggregating Optimistic Planning Trees for Solving Markov Decision Processes
Gunnar Kedenburg, Raphael Fonteneau and Remi Munos
Advances in Neural Information Processing Systems 26, 2013


Efficient Exploration and Value Function Generalization in Deterministic Systems
Zheng Wen and Benjamin V. Roy
Advances in Neural Information Processing Systems 26, 2013


Improved and Generalized Upper Bounds on the Complexity of Policy Iteration
Bruno Scherrer
Advances in Neural Information Processing Systems 26, 2013


Regret based Robust Solutions for Uncertain Markov Decision Processes
Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak and Patrick Jaillet
Advances in Neural Information Processing Systems 26, 2013


Memoized Online Variational Inference for Dirichlet Process Mixture Models
Michael Hughes and Erik Sudderth
Advances in Neural Information Processing Systems 26, 2013


Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation
Dahua Lin
Advances in Neural Information Processing Systems 26, 2013


Approximate Gaussian process inference for the drift function in stochastic differential equations
Andreas Ruttor, Philipp Batz and Manfred Opper
Advances in Neural Information Processing Systems 26, 2013


Learning Stochastic Inverses
Andreas Stuhlmüller, Jacob Taylor and Noah Goodman
Advances in Neural Information Processing Systems 26, 2013


Embed and Project: Discrete Sampling with Universal Hashing
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal and Bart Selman
Advances in Neural Information Processing Systems 26, 2013


Projecting Ising Model Parameters for Fast Mixing
Justin Domke and Xianghang Liu
Advances in Neural Information Processing Systems 26, 2013


EDML for Learning Parameters in Directed and Undirected Graphical Models
Khaled Refaat, Arthur Choi and Adnan Darwiche
Advances in Neural Information Processing Systems 26, 2013


On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations
Tamir Hazan, Subhransu Maji and Tommi Jaakkola
Advances in Neural Information Processing Systems 26, 2013


Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models
Jie Liu and David Page
Advances in Neural Information Processing Systems 26, 2013


Learning Chordal Markov Networks by Constraint Satisfaction
Jukka Corander, Tomi Janhunen, Jussi Rintanen, Henrik Nyman and Johan Pensar
Advances in Neural Information Processing Systems 26, 2013


Marginals-to-Models Reducibility
Tim Roughgarden and Michael Kearns
Advances in Neural Information Processing Systems 26, 2013


Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion
Nguyen V. Cuong, Wee S. Lee, Nan Ye, Kian Chai and Hai L. Chieu
Advances in Neural Information Processing Systems 26, 2013


Buy-in-Bulk Active Learning
Liu Yang and Jaime Carbonell
Advances in Neural Information Processing Systems 26, 2013


Auditing: Active Learning with Outcome-Dependent Query Costs
Sivan Sabato, Anand D. Sarwate and Nati Srebro
Advances in Neural Information Processing Systems 26, 2013


Adaptive Submodular Maximization in Bandit Setting
Victor Gabillon, Branislav Kveton, Zheng Wen, Brian Eriksson and S. Muthukrishnan
Advances in Neural Information Processing Systems 26, 2013


Low-Rank Matrix and Tensor Completion via Adaptive Sampling
Akshay Krishnamurthy and Aarti Singh
Advances in Neural Information Processing Systems 26, 2013


Latent Structured Active Learning
Wenjie Luo, Alex Schwing and Raquel Urtasun
Advances in Neural Information Processing Systems 26, 2013


Bayesian optimization explains human active search
Ali Borji and Laurent Itti
Advances in Neural Information Processing Systems 26, 2013


\Sigma -Optimality for Active Learning on Gaussian Random Fields
Yifei Ma, Roman Garnett and Jeff Schneider
Advances in Neural Information Processing Systems 26, 2013


Sensor Selection in High-Dimensional Gaussian Trees with Nuisances
Daniel S. Levine and Jonathan P. How
Advances in Neural Information Processing Systems 26, 2013


A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles
Jinwoo Shin, Andrew E. Gelfand and Misha Chertkov
Advances in Neural Information Processing Systems 26, 2013


Estimating LASSO Risk and Noise Level
Mohsen Bayati, Murat A. Erdogdu and Andrea Montanari
Advances in Neural Information Processing Systems 26, 2013


Blind Calibration in Compressed Sensing using Message Passing Algorithms
Christophe Schulke, Francesco Caltagirone, Florent Krzakala and Lenka Zdeborova
Advances in Neural Information Processing Systems 26, 2013


Least Informative Dimensions
Fabian Sinz, Anna Stockl, January Grewe and January Benda
Advances in Neural Information Processing Systems 26, 2013


On the Sample Complexity of Subspace Learning
Alessandro Rudi, Guillermo D. Canas and Lorenzo Rosasco
Advances in Neural Information Processing Systems 26, 2013


Multiscale Dictionary Learning for Estimating Conditional Distributions
Francesca Petralia, Joshua T. Vogelstein and David Dunson
Advances in Neural Information Processing Systems 26, 2013


Data-driven Distributionally Robust Polynomial Optimization
Martin Mevissen, Emanuele Ragnoli and Jia Y. Yu
Advances in Neural Information Processing Systems 26, 2013


Stochastic Convex Optimization with Multiple Objectives
Mehrdad Mahdavi, Tianbao Yang and Rong Jin
Advances in Neural Information Processing Systems 26, 2013


Mixed Optimization for Smooth Functions
Mehrdad Mahdavi, Lijun Zhang and Rong Jin
Advances in Neural Information Processing Systems 26, 2013


Linear Convergence with Condition Number Independent Access of Full Gradients
Lijun Zhang, Mehrdad Mahdavi and Rong Jin
Advances in Neural Information Processing Systems 26, 2013


Estimation, Optimization, and Parallelism when Data is Sparse
John Duchi, Michael Jordan and Brendan Mcmahan
Advances in Neural Information Processing Systems 26, 2013


Accelerated Mini-Batch Stochastic Dual Coordinate Ascent
Shai Shalev-shwartz and Tong Zhang
Advances in Neural Information Processing Systems 26, 2013


Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
Rie Johnson and Tong Zhang
Advances in Neural Information Processing Systems 26, 2013


On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization
Ke Hou, Zirui Zhou, Anthony M. So and Zhi-quan Luo
Advances in Neural Information Processing Systems 26, 2013


Polar Operators for Structured Sparse Estimation
Xinhua Zhang, Yao-liang Yu and Dale Schuurmans
Advances in Neural Information Processing Systems 26, 2013


Better Approximation and Faster Algorithm Using the Proximal Average
Yao-liang Yu
Advances in Neural Information Processing Systems 26, 2013


Pass-efficient unsupervised feature selection
Crystal Maung and Haim Schweitzer
Advances in Neural Information Processing Systems 26, 2013


Compressive Feature Learning
Hristo S. Paskov, Robert West, John C. Mitchell and Trevor Hastie
Advances in Neural Information Processing Systems 26, 2013


Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models
Adel Javanmard and Andrea Montanari
Advances in Neural Information Processing Systems 26, 2013


Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
Adel Javanmard and Andrea Montanari
Advances in Neural Information Processing Systems 26, 2013


Learning and using language via recursive pragmatic reasoning about other agents
Nathaniel J. Smith, Noah Goodman and Michael Frank
Advances in Neural Information Processing Systems 26, 2013


Understanding variable importances in forests of randomized trees
Gilles Louppe, Louis Wehenkel, Antonio Sutera and Pierre Geurts
Advances in Neural Information Processing Systems 26, 2013


Sinkhorn Distances: Lightspeed Computation of Optimal Transportation
Marco Cuturi
Advances in Neural Information Processing Systems 26, 2013


Deep Fisher Networks for Large-Scale Image Classification
Karen Simonyan, Andrea Vedaldi and Andrew Zisserman
Advances in Neural Information Processing Systems 26, 2013


Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching
Marcelo Fiori, Pablo Sprechmann, Joshua T. Vogelstein, Pablo Muse and Guillermo Sapiro
Advances in Neural Information Processing Systems 26, 2013


Speeding up Permutation Testing in Neuroimaging
Chris Hinrichs, Vamsi Ithapu, Qinyuan Sun, Sterling C. Johnson and Vikas Singh
Advances in Neural Information Processing Systems 26, 2013


BIG \& QUIC: Sparse Inverse Covariance Estimation for a Million Variables
Cho-jui Hsieh, Matyas A. Sustik, Inderjit Dhillon, Pradeep Ravikumar and Russell Poldrack
Advances in Neural Information Processing Systems 26, 2013


Robust Spatial Filtering with Beta Divergence
Wojciech Samek, Duncan Blythe, Klaus-robert Müller and Motoaki Kawanabe
Advances in Neural Information Processing Systems 26, 2013


Generalizing Analytic Shrinkage for Arbitrary Covariance Structures
Daniel Bartz and Klaus-robert Müller
Advances in Neural Information Processing Systems 26, 2013


Dimension-Free Exponentiated Gradient
Francesco Orabona
Advances in Neural Information Processing Systems 26, 2013


Distributed Exploration in Multi-Armed Bandits
Eshcar Hillel, Zohar S. Karnin, Tomer Koren, Ronny Lempel and Oren Somekh
Advances in Neural Information Processing Systems 26, 2013


Learning from Limited Demonstrations
Beomjoon Kim, Amir M. Farahmand, Joelle Pineau and Doina Precup
Advances in Neural Information Processing Systems 26, 2013


Actor-Critic Algorithms for Risk-Sensitive MDPs
Prashanth L.a. and Mohammad Ghavamzadeh
Advances in Neural Information Processing Systems 26, 2013


Approximate Inference in Continuous Determinantal Processes
Raja H. Affandi, Emily Fox and Ben Taskar
Advances in Neural Information Processing Systems 26, 2013


Using multiple samples to learn mixture models
Jason Lee, Ran Gilad-bachrach and Rich Caruana
Advances in Neural Information Processing Systems 26, 2013


The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
Matthias Hein, Simon Setzer, Leonardo Jost and Syama S. Rangapuram
Advances in Neural Information Processing Systems 26, 2013


Small-Variance Asymptotics for Hidden Markov Models
Anirban Roychowdhury, Ke Jiang and Brian Kulis
Advances in Neural Information Processing Systems 26, 2013


How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal
Jacob Abernethy, Peter Bartlett, Rafael Frongillo and Andre Wibisono
Advances in Neural Information Processing Systems 26, 2013


Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Rishabh K. Iyer and Jeff A. Bilmes
Advances in Neural Information Processing Systems 26, 2013


Adaptive Market Making via Online Learning
Jacob Abernethy and Satyen Kale
Advances in Neural Information Processing Systems 26, 2013


Eluder Dimension and the Sample Complexity of Optimistic Exploration
Dan Russo and Benjamin V. Roy
Advances in Neural Information Processing Systems 26, 2013


From Bandits to Experts: A Tale of Domination and Independence
Noga Alon, Nicolò Cesa-bianchi, Claudio Gentile and Yishay Mansour
Advances in Neural Information Processing Systems 26, 2013


On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation
Harikrishna Narasimhan and Shivani Agarwal
Advances in Neural Information Processing Systems 26, 2013


Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses
Harish G. Ramaswamy, Shivani Agarwal and Ambuj Tewari
Advances in Neural Information Processing Systems 26, 2013


More data speeds up training time in learning halfspaces over sparse vectors
Amit Daniely, Nati Linial and Shai Shalev-shwartz
Advances in Neural Information Processing Systems 26, 2013


Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
Po-ling Loh and Martin J. Wainwright
Advances in Neural Information Processing Systems 26, 2013


PAC-Bayes-Empirical-Bernstein Inequality
Ilya O. Tolstikhin and Yevgeny Seldin
Advances in Neural Information Processing Systems 26, 2013


Information-theoretic lower bounds for distributed statistical estimation with communication constraints
Yuchen Zhang, John Duchi, Michael Jordan and Martin J. Wainwright
Advances in Neural Information Processing Systems 26, 2013


Message Passing Inference with Chemical Reaction Networks
Nils E. Napp and Ryan P. Adams
Advances in Neural Information Processing Systems 26, 2013


Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)
Francis Bach and Eric Moulines
Advances in Neural Information Processing Systems 26, 2013


Graphical Models for Inference with Missing Data
Karthika Mohan, Judea Pearl and Jin Tian
Advances in Neural Information Processing Systems 26, 2013


Regression-tree Tuning in a Streaming Setting
Samory Kpotufe and Francesco Orabona
Advances in Neural Information Processing Systems 26, 2013


Inverse Density as an Inverse Problem: the Fredholm Equation Approach
Qichao Que and Mikhail Belkin
Advances in Neural Information Processing Systems 26, 2013


Learning Kernels Using Local Rademacher Complexity
Corinna Cortes, Marius Kloft and Mehryar Mohri
Advances in Neural Information Processing Systems 26, 2013


Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space
Xinhua Zhang, Wee S. Lee and Yee W. Teh
Advances in Neural Information Processing Systems 26, 2013


More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin K. Kim, Phillip B. Gibbons, Garth A. Gibson, Greg Ganger and Eric Xing
Advances in Neural Information Processing Systems 26, 2013


A Kernel Test for Three-Variable Interactions
Dino Sejdinovic, Arthur Gretton and Wicher Bergsma
Advances in Neural Information Processing Systems 26, 2013


Lasso Screening Rules via Dual Polytope Projection
Jie Wang, Jiayu Zhou, Peter Wonka and Jieping Ye
Advances in Neural Information Processing Systems 26, 2013


Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis
Nikhil Rao, Christopher Cox, Rob Nowak and Timothy T. Rogers
Advances in Neural Information Processing Systems 26, 2013


Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits
Ben Shababo, Brooks Paige, Ari Pakman and Liam Paninski
Advances in Neural Information Processing Systems 26, 2013


Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?
Qiang Liu, Alex Ihler and Mark Steyvers
Advances in Neural Information Processing Systems 26, 2013


Linear decision rule as aspiration for simple decision heuristics
Ozgur Simsek
Advances in Neural Information Processing Systems 26, 2013


Optimizing Instructional Policies
Robert Lindsey, Michael Mozer, William J. Huggins and Harold Pashler
Advances in Neural Information Processing Systems 26, 2013


Bayesian inference as iterated random functions with applications to sequential inference in graphical models
Arash Amini and Xuanlong Nguyen
Advances in Neural Information Processing Systems 26, 2013


Approximate inference in latent Gaussian-Markov models from continuous time observations
Botond Cseke, Manfred Opper and Guido Sanguinetti
Advances in Neural Information Processing Systems 26, 2013


Restricting exchangeable nonparametric distributions
Sinead A. Williamson, Steve N. Maceachern and Eric Xing
Advances in Neural Information Processing Systems 26, 2013


Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex
Sam Patterson and Yee W. Teh
Advances in Neural Information Processing Systems 26, 2013


Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang and Percy Liang
Advances in Neural Information Processing Systems 26, 2013


Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs
Vikash Mansinghka, Tejas D. Kulkarni, Yura N. Perov and Josh Tenenbaum
Advances in Neural Information Processing Systems 26, 2013


A simple example of Dirichlet process mixture inconsistency for the number of components
Jeffrey W. Miller and Matthew T. Harrison
Advances in Neural Information Processing Systems 26, 2013


Annealing between distributions by averaging moments
Roger B. Grosse, Chris J. Maddison and Ruslan Salakhutdinov
Advances in Neural Information Processing Systems 26, 2013


Understanding Dropout
Pierre Baldi and Peter J. Sadowski
Advances in Neural Information Processing Systems 26, 2013


Recurrent linear models of simultaneously-recorded neural populations
Marius Pachitariu, Biljana Petreska and Maneesh Sahani
Advances in Neural Information Processing Systems 26, 2013


Demixing odors - fast inference in olfaction
Agnieszka Grabska-barwinska, Jeff Beck, Alexandre Pouget and Peter Latham
Advances in Neural Information Processing Systems 26, 2013


Noise-Enhanced Associative Memories
Amin Karbasi, Amir H. Salavati, Amin Shokrollahi and Lav R. Varshney
Advances in Neural Information Processing Systems 26, 2013


Inferring neural population dynamics from multiple partial recordings of the same neural circuit
Srini Turaga, Lars Buesing, Adam M. Packer, Henry Dalgleish, Noah Pettit, Michael Hausser and Jakob Macke
Advances in Neural Information Processing Systems 26, 2013


Bayesian entropy estimation for binary spike train data using parametric prior knowledge
Evan W. Archer, Il M. Park and Jonathan W. Pillow
Advances in Neural Information Processing Systems 26, 2013


A memory frontier for complex synapses
Subhaneil Lahiri and Surya Ganguli
Advances in Neural Information Processing Systems 26, 2013


Correlations strike back (again): the case of associative memory retrieval
Cristina Savin, Peter Dayan and Mate Lengyel
Advances in Neural Information Processing Systems 26, 2013


Structured Learning via Logistic Regression
Justin Domke
Advances in Neural Information Processing Systems 26, 2013


Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model
Fang Han and Han Liu
Advances in Neural Information Processing Systems 26, 2013


Reconciling "priors" and "priors" without prejudice?
Remi Gribonval and Pierre Machart
Advances in Neural Information Processing Systems 26, 2013


Convex Two-Layer Modeling
Özlem Aslan, Hao Cheng, Xinhua Zhang and Dale Schuurmans
Advances in Neural Information Processing Systems 26, 2013


Matrix Completion From any Given Set of Observations
Troy Lee and Adi Shraibman
Advances in Neural Information Processing Systems 26, 2013


Provable Subspace Clustering: When LRR meets SSC
Yu-xiang Wang, Huan Xu and Chenlei Leng
Advances in Neural Information Processing Systems 26, 2013


Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty
Haichao Zhang and David Wipf
Advances in Neural Information Processing Systems 26, 2013


On Decomposing the Proximal Map
Yao-liang Yu
Advances in Neural Information Processing Systems 26, 2013


Unsupervised Spectral Learning of Finite State Transducers
Raphael Bailly, Xavier Carreras and Ariadna Quattoni
Advances in Neural Information Processing Systems 26, 2013


On the Complexity and Approximation of Binary Evidence in Lifted Inference
Guy Broeck and Adnan Darwiche
Advances in Neural Information Processing Systems 26, 2013


Matrix factorization with binary components
Martin Slawski, Matthias Hein and Pavlo Lutsik
Advances in Neural Information Processing Systems 26, 2013


Exact and Stable Recovery of Pairwise Interaction Tensors
Shouyuan Chen, Michael R. Lyu, Irwin King and Zenglin Xu
Advances in Neural Information Processing Systems 26, 2013


Adaptive Anonymity via b-Matching
Krzysztof M. Choromanski, Tony Jebara and Kui Tang
Advances in Neural Information Processing Systems 26, 2013


Scalable Influence Estimation in Continuous-Time Diffusion Networks
Nan Du, Le Song, Manuel Gomez-rodriguez and Hongyuan Zha
Advances in Neural Information Processing Systems 26, 2013