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All publications at Proceedings of the 30th International Conference on Machine Learning (ICML-13)
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Direct Modeling of Complex Invariances for Visual Object Features
Ka Y. Hui
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Activized Learning with Uniform Classification Noise
Liu Yang and Steve Hanneke
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scalable Optimization of Neighbor Embedding for Visualization
Zhirong Yang, Jaakko Peltonen and Samuel Kaski
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Mixture of Mutually Exciting Processes for Viral Diffusion
Shuang-hong Yang and Hongyuan Zha
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Monochromatic Bi-Clustering
Sharon Wulff, Ruth Urner and Shai Ben-david
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data
Jan-willem Meent, Jonathan Bronson, Frank Wood, Ruben G. Jr. and Chris Wiggins
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Label Partitioning For Sublinear Ranking
Jason Weston, Ameesh Makadia and Hector Yee
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sequential Bayesian Search
Zheng Wen, Branislav Kveton, Brian Eriksson and Sandilya Bhamidipati
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing
Huayan Wang and Koller Daphne
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast dropout training
Sida Wang and Christopher Manning
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stochastic Simultaneous Optimistic Optimization
Michal Valko, Alexandra Carpentier and Rémi Munos
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Generic Exploration and K-armed Voting Bandits
Tanguy Urvoy, Fabrice Clerot, Raphael Féraud and Sami Naamane
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
Quoc T. Dinh, Anastasios Kyrillidis and Volkan Cevher
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Thurstonian Boltzmann Machines: Learning from Multiple Inequalities
Truyen Tran, Dinh Phung and Svetha Venkatesh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Margins, Shrinkage, and Boosting
Matus Telgarsky
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines
Kihyuk Sohn, Guanyu Zhou, Chansoo Lee and Honglak Lee
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Modeling Musical Influence with Topic Models
Uri Shalit, Daphna Weinshall and Gal Chechik
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Exploring the Mind: Integrating Questionnaires and fMRI
Esther Salazar, Ryan Bogdan, Adam Gorka, Ahmad Hariri and Lawrence Carin
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings
Nicola Rebagliati
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


An Adaptive Learning Rate for Stochastic Variational Inference
Rajesh Ranganath, Chong Wang, Blei David and Eric Xing
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparse coding for multitask and transfer learning
Andreas Maurer, Massi Pontil and Bernardino Romera-paredes
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Gaussian Process Vine Copulas for Multivariate Dependence
David Lopez-paz, Jose M. Hernández-lobato and Zoubin Ghahramani
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Local Low-Rank Matrix Approximation
Joonseok Lee, Seungyeon Kim, Guy Lebanon and Yoram Singer
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparse projections onto the simplex
Anastasios Kyrillidis, Stephen Becker, Volkan Cevher and Christoph Koch
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Ellipsoidal Multiple Instance Learning
Gabriel Krummenacher, Cheng S. Ong and Joachim Buhmann
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Variational Approximation for Topic Modeling of Hierarchical Corpora
Do-kyum Kim, Geoffrey Voelker and Lawrence K. Saul
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Hierarchical Regularization Cascade for Joint Learning
Alon Zweig and Daphna Weinshall
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Triggering Kernels for Multi-dimensional Hawkes Processes
Ke Zhou, Hongyuan Zha and Le Song
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions
Lijun Zhang, Tianbao Yang, Rong Jin and Xiaofei He
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Domain Adaptation under Target and Conditional Shift
Kun Zhang, Bernhard Schlkopf, Krikamol Muandet and Zhikun Wang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Online Kernel Learning with a Near Optimal Sparsity Bound
Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin and Xiaofei He
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
Kai Zhang, Vincent Zheng, Qiaojun Wang, James Kwok, Qiang Yang and Ivan Marsic
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


MILEAGE: Multiple Instance LEArning with Global Embedding
Dan Zhang, Jingrui He, Luo Si and Richard Lawrence
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Fair Representations
Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi and Cynthia Dwork
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


$\propto$SVM for Learning with Label Proportions
Felix Yu, Dong Liu, Sanjiv Kumar, Jebara Tony and Shih-fu Chang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals
Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi and Masataka Goto
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion
Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian and Anil Jain
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Quantile Regression for Large-scale Applications
Jiyan Yang, Xiangrui Meng and Michael Mahoney
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Unified Robust Regression Model for Lasso-like Algorithms
Wenzhuo Yang and Huan Xu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model
Ming Yang, Yingming Li and Zhongfei University)
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Anytime Representation Learning
Zhixiang Xu, Matt Kusner, Gao Huang and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Max-Margin Matrix Factorization with Data Augmentation
Minjie Xu, Jun Zhu and Bo Zhang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting
Matt Wytock and Zico Kolter
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dynamic Covariance Models for Multivariate Financial Time Series
Yue Wu, Jose M. Hernandez-lobato and Ghahramani Zoubin
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Gaussian Process Kernels for Pattern Discovery and Extrapolation
Andrew Wilson and Ryan Adams
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


LDA Topic Model with Soft Assignment of Descriptors to Words
Daphna Weinshall, Gal Levi and Dmitri Hanukaev
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Ranking from Pairwise Comparisons
Fabian Wauthier, Michael Jordan and Nebojsa Jojic
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Adaptive Hamiltonian and Riemann Manifold Monte Carlo
Ziyu Wang, Shakir Mohamed and De Nando
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Max-Margin Multiple-Instance Dictionary Learning
Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu and Zhuowen Tu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multi-View Clustering and Feature Learning via Structured Sparsity
Hua Wang, Feiping Nie and Heng Huang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Robust and Discriminative Self-Taught Learning
Hua Wang, Feiping Nie and Heng Huang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Fast and Exact Energy Minimization Algorithm for Cycle MRFs
Huayan Wang and Koller Daphne
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Regularization of Neural Networks using DropConnect
Li Wan, Matthew Zeiler, Sixin Zhang, Yann L. Cun and Rob Fergus
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Entropic Affinities: Properties and Efficient Numerical Computation
Max Vladymyrov and Miguel Carreira-perpinan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Planning by Prioritized Sweeping with Small Backups
Harm V. Seijen and Rich Sutton
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Expensive Function Optimization with Stochastic Binary Outcomes
Matthew Tesch, Jeff Schneider and Howie Choset
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Spectral Experts for Estimating Mixtures of Linear Regressions
Arun T. Chaganty and Percy Liang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning
Daniel Tarlow, Kevin Swersky, Laurent Charlin, Ilya Sutskever and Rich Zemel
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Tensor Analyzers
Yichuan Tang, Ruslan Salakhutdinov and Geoffrey Hinton
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Temporal Difference Methods for the Variance of the Reward To Go
Aviv Tamar, Dotan D. Castro and Shie Mannor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Mini-Batch Primal and Dual Methods for SVMs
Martin Takac, Avleen Bijral, Peter Richtarik and Nati Srebro
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Gossip-based distributed stochastic bandit algorithms
Balazs Szorenyi, Robert Busa-fekete, Istvan Hegedus, Robert Ormandi, Mark Jelasity and Balazs Kegl
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On the importance of initialization and momentum in deep learning
Ilya Sutskever, James Martens, George Dahl and Geoffrey Hinton
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner
Peng Sun and Jie Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Hierarchical Tensor Decomposition of Latent Tree Graphical Models
Le Song, Mariya Ishteva, Ankur Parikh, Eric Xing and Haesun Park
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Coco-Q: Learning in Stochastic Games with Side Payments
Eric Sodomka, Elizabeth Hilliard, Michael Littman and Amy Greenwald
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models
Umut Simsekli, Ali Cemgil and Yusuf K. Yilmaz
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Concurrent Reinforcement Learning from Customer Interactions
David Silver, Leonard Newnham, David Barker, Suzanne Weller and Jason Mcfall
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Computation-Risk Tradeoffs for Covariance-Thresholded Regression
Dinah Shender and John Lafferty
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Approximate Inference in Collective Graphical Models
Daniel Sheldon, Tao Sun, Akshat Kumar and Tom Dietterich
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


No more pesky learning rates
Tom Schaul, Sixin Zhang and Yann Lecun
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Feature Multi-Selection among Subjective Features
Sivan Sabato and Adam Kalai
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Policies for Contextual Submodular Prediction
Stephane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey and Drew Bagnell
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Nonparametric Mixture of Gaussian Processes with Constraints
James Ross and Jennifer Dy
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multilinear Multitask Learning
Bernardino Romera-paredes, Hane Aung, Nadia Bianchi-berthouze and Massimiliano Pontil
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Intersecting singularities for multi-structured estimation
Emile Richard, Francis Bach and Jean-philippe Vert
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scaling the Indian Buffet Process via Submodular Maximization
Colorado Reed and Ghahramani Zoubin
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Predictable Dual-View Hashing
Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Daume Hal and Larry Davis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stable Coactive Learning via Perturbation
Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy and Tobias Schnabel
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Message passing with l1 penalized KL minimization
Yuan Qi and Yandong Guo
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Safe Policy Iteration
Matteo Pirotta, Marcello Restelli, Alessio Pecorino and Daniele Calandriello
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Most Generative Maximum Margin Bayesian Networks
Robert Peharz, Sebastian Tschiatschek and Franz Pernkopf
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On the difficulty of training recurrent neural networks
Razvan Pascanu, Tomas Mikolov and Yoshua Bengio
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparse PCA through Low-rank Approximations
Dimitris Papailiopoulos, Alexandros Dimakis and Stavros Korokythakis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Distribution to Distribution Regression
Junier Oliva, Barnabas Poczos and Jeff Schneider
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Safe Screening of Non-Support Vectors in Pathwise SVM Computation
Kohei Ogawa, Yoshiki Suzuki and Ichiro Takeuchi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines
Kohei Ogawa, Motoki Imamura, Ichiro Takeuchi and Masashi Sugiyama
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning
Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya and Masashi Sugiyama
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Algorithms for Direct 0--1 Loss Optimization in Binary Classification
Tan Nguyen and Scott Sanner
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Loss-Proportional Subsampling for Subsequent ERM
Paul Mineiro and Nikos Karampatziakis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance
Aditya Menon, Harikrishna Narasimhan, Shivani Agarwal and Sanjay Chawla
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Robust Regression on MapReduce
Xiangrui Meng and Michael Mahoney
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scalable Simple Random Sampling and Stratified Sampling
Xiangrui Meng
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning invariant features by harnessing the aperture problem
Roland Memisevic and Georgios Exarchakis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Exact Rule Learning via Boolean Compressed Sensing
Dmitry Malioutov and Kush Varshney
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Optimization with First-Order Surrogate Functions
Julien Mairal
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Estimating Unknown Sparsity in Compressed Sensing
Miles Lopes
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Consistency versus Realizable H-Consistency for Multiclass Classification
Phil Long and Rocco Servedio
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Collective Stability in Structured Prediction: Generalization from One Example
Ben London, Bert Huang, Ben Taskar and Lise Getoor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Guaranteed Sparse Recovery under Linear Transformation
Ji Liu, Lei Yuan and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Guided Policy Search
Sergey Levine and Vladlen Koltun
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fastfood - Computing Hilbert Space Expansions in loglinear time
Quoc Le, Tamas Sarlos and Alexander Smola
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Sample-Complexity of General Reinforcement Learning
Tor Lattimore, Marcus Hutter and Peter Sunehag
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Top-down particle filtering for Bayesian decision trees
Balaji Lakshminarayanan, Daniel Roy and Yee W. Teh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stability and Hypothesis Transfer Learning
Ilja Kuzborskij and Francesco Orabona
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration
Volodymyr Kuleshov
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Parameter Learning and Convergent Inference for Dense Random Fields
Philipp Kraehenbuehl and Vladlen Koltun
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation
Hema Koppula and Ashutosh Saxena
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On learning parametric-output HMMs
Aryeh Kontorovich, Boaz Nadler and Roi Weiss
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Inference algorithms for pattern-based CRFs on sequence data
Vladimir Kolmogorov and Rustem Takhanov
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Markov Network Estimation From Multi-attribute Data
Mladen Kolar, Han Liu and Eric Xing
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Manifold Preserving Hierarchical Topic Models for Quantization and Approximation
Minje Kim and Paris Smaragdis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Almost Optimal Exploration in Multi-Armed Bandits
Zohar Karnin, Tomer Koren and Oren Somekh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
Purushottam Kar, Bharath Sriperumbudur, Prateek Jain and Harish Karnick
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On autoencoder scoring
Hanna Kamyshanska and Roland Memisevic
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Bigraphical Lasso
Alfredo Kalaitzis, John Lafferty, Neil Lawrence and Shuheng Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning from Human-Generated Lists
Kwang-sung Jun, Jerry Zhu, Burr Settles and Timothy Rogers
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Analogy-preserving Semantic Embedding for Visual Object Categorization
Sung J. Hwang, Kristen Grauman and Fei Sha
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scale Invariant Conditional Dependence Measures
Sashank J. Reddi and Barnabas Poczos
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Online Learning under Delayed Feedback
Pooria Joulani, Andras Gyorgy and Csaba Szepesvari
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
Cijo Jose, Prasoon Goyal, Parv Aggrwal and Manik Varma
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On Compact Codes for Spatially Pooled Features
Yangqing Jia, Oriol Vinyals and Trevor Darrell
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Convex QP Relaxations for Structured Prediction
Jeremy Jancsary, Sebastian Nowozin and Carsten Rother
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Differentially Private Learning with Kernels
Prateek Jain and Abhradeep Thakurta
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training
Michael Izbicki
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Semidifferential-based Submodular Function Optimization
Rishabh Iyer, Stefanie Jegelka and Jeff Bilmes
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Unfolding Latent Tree Structures using 4th Order Tensors
Mariya Ishteva, Haesun Park and Le Song
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Spectral Learning of Hidden Markov Models from Dynamic and Static Data
Tzu-kuo Huang and Jeff Schneider
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy
Jean Honorio and Jaakkola Tommi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The lasso, persistence, and cross-validation
Darren Homrighausen and Daniel Mcdonald
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression
Toby Hocking, Guillem Rigaill, Jean-philippe Vert and Francis Bach
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


On A Nonlinear Generalization of Sparse Coding and Dictionary Learning
Jeffrey Ho, Yuchen Xie and Baba Vemuri
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Modeling Temporal Evolution and Multiscale Structure in Networks
Tue Herlau, Morten Mrup and Mikkel Schmidt
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Natural Image Bases to Represent Neuroimaging Data
Ashish Gupta, Murat Ayhan and Anthony Maida
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Factorial Multi-Task Learning : A Bayesian Nonparametric Approach
Sunil Gupta, Dinh Phung and Svetha Venkatesh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Smooth Operators
Steffen Grunewalder, Gretton Arthur and John Shawe-taylor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Bayesian Games for Adversarial Regression Problems
Michael Grohans, Christoph Sawade, Michael Brckner and Tobias Scheffer
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Cross-Entropy Method Optimizes for Quantiles
Sergiu Goschin, Ari Weinstein and Michael Littman
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


One-Bit Compressed Sensing: Provable Support and Vector Recovery
Sivakant Gopi, Praneeth Netrapalli, Prateek Jain and Aditya Nori
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Maxout Networks
Ian Goodfellow, David Warde-farley, Mehdi Mirza, Aaron Courville and Yoshua Bengio
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Kernelized Bayesian Matrix Factorization
Mehmet Gnen, Suleiman Khan and Samuel Kaski
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Modeling Information Propagation with Survival Theory
Manuel Gomez-rodriguez, Jure Leskovec and Bernhard Schlkopf
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Revisiting the Nystrom method for improved large-scale machine learning
Alex Gittens and Michael Mahoney
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers
Pascal Germain, Amaury Habrard, Franois Laviolette and Emilie Morvant
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multiple-source cross-validation
Krzysztof Geras and Charles Sutton
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines
Kostadin Georgiev and Preslav Nakov
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning the Structure of Sum-Product Networks
Robert Gens and Domingos Pedro
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


One-Pass AUC Optimization
Wei Gao, Rong Jin, Shenghuo Zhu and Zhi-hua Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events
Lisa Friedland, David Jensen and Michael Lavine
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models
Mohammad E. Khan, Aleksandr Aravkin, Michael Friedlander and Matthias Seeger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Structure Discovery in Nonparametric Regression through Compositional Kernel Search
David Duvenaud, James Lloyd, Roger Grosse, Joshua Tenenbaum and Ghahramani Zoubin
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sharp Generalization Error Bounds for Randomly-projected Classifiers
Robert Durrant and Ata Kaban
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Topic Discovery through Data Dependent and Random Projections
Weicong Ding, Mohammad H. Rohban, Prakash Ishwar and Venkatesh Saligrama
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


ABC Reinforcement Learning
Christos Dimitrakakis and Nikolaos Tziortziotis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Consistency of Online Random Forests
Misha Denil, David Matheson and De Nando
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization
Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski, Willem Waegeman and Eyke Huellermeier
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Better Rates for Any Adversarial Deterministic MDP
Ofer Dekel and Elad Hazan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Heteroscedastic Models by Convex Programming under Group Sparsity
Arnak Dalalyan, Mohamed Hebiri, Katia Meziani and Joseph Salmon
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Mean Reversion with a Variance Threshold
Marco Cuturi and Alexandre D'aspremont
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Tree-Independent Dual-Tree Algorithms
Ryan Curtin, William March, Parikshit Ram, David Anderson, Alexander Gray and Charles Isbell
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


That was fast! Speeding up NN search of high dimensional distributions.
Emanuele Coviello, Adeel Mumtaz, Antoni Chan and Gert Lanckriet
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multi-Class Classification with Maximum Margin Multiple Kernel
Corinna Cortes, Mehryar Mohri and Afshin Rostamizadeh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Deep learning with COTS HPC systems
Adam Coates, Brody Huval, Tao Wang, David Wu, Bryan Catanzaro and Ng Andrew
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment
Jason Chuang, Sonal Gupta, Christopher Manning and Jeffrey Heer
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images
Kyunghyun Cho
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Riemannian Similarity Learning
Li Cheng
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Robust Sparse Regression under Adversarial Corruption
Yudong Chen, Constantine Caramanis and Shie Mannor
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Image Tagging
Minmin Chen, Alice Zheng and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dependent Normalized Random Measures
Changyou Chen, Vinayak Rao, Wray Buntine and Yee W. Teh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Spectral Compressed Sensing via Structured Matrix Completion
Yuxin Chen and Yuejie Chi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
Xi Chen, Qihang Lin and Dengyong Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Infinite Markov-Switching Maximum Entropy Discrimination Machines
Sotirios Chatzis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Joint Transfer and Batch-mode Active Learning
Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Top-k Selection based on Adaptive Sampling of Noisy Preferences
Robert Busa-fekete, Balazs Szorenyi, Weiwei Cheng, Paul Weng and Eyke Huellermeier
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Extended Parameter Filter
Yusuf B. Erol, Lei Li, Bharath Ramsundar and Russell Stuart
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation
Nicholas Bryan and Gautham Mysore
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


MAD-Bayes: MAP-based Asymptotic Derivations from Bayes
Tamara Broderick, Brian Kulis and Michael Jordan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation
Sebastian Brechtel, Tobias Gindele and Rdiger Dillmann
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Multi-label Classification with Many Labels
Wei Bi and James Kwok
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Bayesian Learning of Recursively Factored Environments
Marc Bellemare, Joel Veness and Michael Bowling
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Exploiting Ontology Structures and Unlabeled Data for Learning
Avrim Blum, Yishay Mansour and Maria-Florina Balcan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
Krishnakumar Balasubramanian, Kai Yu and Guy Lebanon
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Non-Linear Stationary Subspace Analysis with Application to Video Classification
Mahsa Baktashmotlagh, Mehrtash Harandi, Abbas Bigdeli, Brian Lovell and Mathieu Salzmann
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Cost-sensitive Multiclass Classification Risk Bounds
Bernardo V. Pires, Csaba Szepesvari and Mohammad Ghavamzadeh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Quickly Boosting Decision Trees -- Pruning Underachieving Features Early
Ron Appel, Thomas Fuchs, Piotr Dollar and Pietro Perona
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Deep Canonical Correlation Analysis
Galen Andrew, Raman Arora, Jeff Bilmes and Karen Livescu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space
Javier Almingol, Lui Montesano and Manuel Lopes
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Local Algorithm for Finding Well-Connected Clusters
Zeyuan A. Zhu, Silvio Lattanzi and Vahab Mirrokni
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Breaking the Small Cluster Barrier of Graph Clustering
Nir Ailon, Yudong Chen and Huan Xu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling
Amr Ahmed, Liangjie Hong and Alexander Smola
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal and Navin Goyal
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Selective sampling algorithms for cost-sensitive multiclass prediction
Alekh Agarwal
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A unifying framework for vector-valued manifold regularization and multi-view learning
Minh H. Quang, Loris Bazzani and Vittorio Murino
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Precision-recall space to correct external indices for biclustering
Blaise Hanczar and Mohamed Nadif
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Transition Matrix Estimation in High Dimensional Time Series
Fang Han and Han Liu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Distributed training of Large-scale Logistic models
Siddharth Gopal and Yiming Yang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Large-Scale Learning with Less RAM via Randomization
Daniel Golovin, D. Sculley, Brendan Mcmahan and Michael Young
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Forecastable Component Analysis
Georg Goerg
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Connections in Financial Time Series
Gartheeban Ganeshapillai, John Guttag and Andrew Lo
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization
Stefano Ermon, Carla Gomes, Ashish Sabharwal and Bart Selman
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically
Mrinal Das, Suparna Bhattacharya, Chiranjib Bhattacharyya and Gopinath Kanchi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment
Billy Chang, Uwe Kruger, Rafal Kustra and Junping Zhang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Toward Optimal Stratification for Stratified Monte-Carlo Integration
Alexandra Carpentier and Rémi Munos
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


SADA: A General Framework to Support Robust Causation Discovery
Ruichu Cai, Zhenjie Zhang and Zhifeng Hao
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Collaborative hyperparameter tuning
Rémi Bardenet, Mátyás Brendel, Balázs Kégl and Mich\`ele Sebag
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Practical Algorithm for Topic Modeling with Provable Guarantees
Sanjeev Arora, Rong Ge, Yonatan Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu and Michael Zhu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Gated Autoencoders with Tied Input Weights
Droniou Alain and Sigaud Olivier
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Active Learning for Multi-Objective Optimization
Marcela Zuluaga, Guillaume Sergent, Andreas Krause and Markus Püschel
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Gibbs Max-Margin Topic Models with Fast Sampling Algorithms
Jun Zhu, Ning Chen, Hugh Perkins and Bo Zhang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparse Uncorrelated Linear Discriminant Analysis
Xiaowei Zhang and Delin Chu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Online Latent Dirichlet Allocation with Infinite Vocabulary
Ke Zhai and Jordan L. Boyd-graber
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Characterizing the Representer Theorem
Yaoliang Yu, Hao Cheng, Dale Schuurmans and Csaba Szepesvári
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Cost-Sensitive Tree of Classifiers
Zhixiang Xu, Matt Kusner, Minmin Chen and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model
Min Xiao and Yuhong Guo
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Sparse Group Feature Selection via Nonconvex Optimization
Shuo Xiang, Xiaoshen Tong and Jieping Ye
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Parsing epileptic events using a Markov switching process model for correlated time series
Drausin Wulsin, Brian Litt and Emily B. Fox
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Adaptive Sparsity in Gaussian Graphical Models
Eleanor Wong, Suyash Awate and P. T. Fletcher
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models
Sinead Williamson, Avinava Dubey and Eric P. Xing
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Noisy Sparse Subspace Clustering
Yu-xiang Wang and Huan Xu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning with Marginalized Corrupted Features
Laurens Maaten, Minmin Chen, Stephen Tyree and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Convex Adversarial Collective Classification
Mohamadali Torkamani and Daniel Lowd
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


An Optimal Policy for Target Localization with Application to Electron Microscopy
Raphael Sznitman, Aurelien Lucchi, Peter Frazier, Bruno Jedynak and Pascal Fua
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method
Taiji Suzuki
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A New Frontier of Kernel Design for Structured Data
Kilho Shin
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir and Tong Zhang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


ELLA: An Efficient Lifelong Learning Algorithm
Eric Eaton and Paul L. Ruvolo
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Optimal rates for stochastic convex optimization under Tsybakov noise condition
Aaditya Ramdas and Aarti Singh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification
Ofir Pele, Ben Taskar, Amir Globerson and Michael Werman
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Human Boosting
Harsh Pareek and Pradeep Ravikumar
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Stochastic Alternating Direction Method of Multipliers
Hua Ouyang, Niao He, Long Tran and Alexander G. Gray
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Enhanced statistical rankings via targeted data collection
Braxton Osting, Christoph Brune and Stanley Osher
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Online Feature Selection for Model-based Reinforcement Learning
Trung Nguyen, Zhuoru Li, Tomi Silander and Tze Y. Leong
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Structural SVM Based Approach for Optimizing Partial AUC
Harikrishna Narasimhan and Shivani Agarwal
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Domain Generalization via Invariant Feature Representation
Krikamol Muandet, David Balduzzi and Bernhard Schölkopf
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Machine Learning Framework for Programming by Example
Aditya Menon, Omer Tamuz, Sumit Gulwani, Butler Lampson and Adam Kalai
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Sparsity-Based Generalization Bounds for Predictive Sparse Coding
Nishant Mehta and Alexander G. Gray
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning
Odalric-ambrym Maillard, Phuong Nguyen, Ronald Ortner and Daniil Ryabko
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Vanishing Component Analysis
Roi Livni, David Lehavi, Sagi Schein, Hila Nachliely, Shai Shalev-shwartz and Amir Globerson
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Robust Structural Metric Learning
Daryl Lim, Brian Mcfee and Gert R. Lanckriet
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fixed-Point Model For Structured Labeling
Quannan Li, Jingdong Wang, Zhuowen Tu and David P. Wipf
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Hash Functions Using Column Generation
Xi Li, Guosheng Lin, Chunhua Shen, Anton Hengel and Anthony Dick
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-julien, Martin Jaggi, Mark Schmidt and Patrick Pletscher
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs
K. Kumar and Francis R. Bach
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization
Abhishek Kumar, Vikas Sindhwani and Prabhanjan Kambadur
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Near-Optimal Bounds for Cross-Validation via Loss Stability
Ravi Kumar, Daniel Lokshtanov, Sergei Vassilvitskii and Andrea Vattani
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Approximation properties of DBNs with binary hidden units and real-valued visible units
Oswin Krause, Asja Fischer, Tobias Glasmachers and Christian Igel
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Feature Selection in High-Dimensional Classification
Mladen Kolar and Han Liu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Iterative Learning and Denoising in Convolutional Neural Associative Memories
Amin Karbasi, Amir H. Salavati and Amin Shokrollahi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Generalized Kernel Approach to Structured Output Learning
Hachem Kadri, Mohammad Ghavamzadeh and Philippe Preux
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
Martin Jaggi
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Adaptive Task Assignment for Crowdsourced Classification
Chien-ju Ho, Shahin Jabbari and Jennifer W. Vaughan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Probabilistic Optimization from Noisy Gradients
Philipp Hennig
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks
Creighton Heaukulani and Zoubin Ghahramani
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Principal Component Analysis on non-Gaussian Dependent Data
Fang Han and Han Liu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Modelling Sparse Dynamical Systems with Compressed Predictive State Representations
William L. Hamilton, Mahdi M. Fard and Joelle Pineau
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dynamical Models and tracking regret in online convex programming
Eric Hall and Rebecca Willett
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Average Reward Optimization Objective In Partially Observable Domains
Yuri Grinberg and Doina Precup
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation
Boqing Gong, Kristen Grauman and Fei Sha
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Active Learning of Halfspaces: an Aggressive Approach
Alon Gonen, Sivan Sabato and Shai Shalev-shwartz
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning an Internal Dynamics Model from Control Demonstration
Matthew Golub, Steven Chase and Byron M. Yu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Discriminatively Activated Sparselets
Hyun O. Song, Trevor Darrell and Ross B. Girshick
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Scaling Multidimensional Gaussian Processes using Projected Additive Approximations
Elad Gilboa, Yunus Saatçci and John P. Cunningham
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction
Sébastien Gigu\`ere, Mario Marchand, Khadidja Sylla and François Laviolette
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Convex formulations of radius-margin based Support Vector Machines
Alexandros Kalousis and Huyen T. Do
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Optimally Sparse Support Vector Machines
Andrew Cotter, Shai Shalev-shwartz and Nati Srebro
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Rounding Methods for Discrete Linear Classification
Yann Chevaleyre, Frédéerick Koriche and Jean-daniel Zucker
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


General Functional Matrix Factorization Using Gradient Boosting
Tianqi Chen, Hang Li, Qiang Yang and Yong Yu
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery
Yudong Chen and Constantine Caramanis
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Maximum Variance Correction with Application to A* Search
Wenlin Chen, Yixin Chen and Kilian Q. Weinberger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
Yuxin Chen and Andreas Krause
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Combinatorial Multi-Armed Bandit: General Framework and Applications
Wei Chen, Yajun Wang and Yang Yuan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Constrained fractional set programs and their application in local clustering and community detection
Thomas Bühler, Shyam S. Rangapuram, Simon Setzer and Matthias Hein
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Multiple Identifications in Multi-Armed Bandits
Tengyao Wang, Nitin Viswanathan and Sébastien Bubeck
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Spectral Learning Approach to Range-Only SLAM
Byron Boots and Geoffrey J. Gordon
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
Daniel Yamins, David Tax and James S. Bergstra
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Better Mixing via Deep Representations
Yoshua Bengio, Gregoire Mesnil, Yann Dauphin and Salah Rifai
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Semi-supervised and Active Learning of Disjunctions
Christopher Berlind, Steven Ehrlich, Yingyu Liang and Maria-Florina Balcan
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Dimensionality Reduction for Canonical Correlation Analysis
Haim Avron, Christos Boutsidis, Sivan Toledo and Anastasios Zouzias
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning Linear Bayesian Networks with Latent Variables
Animashree Anandkumar, Adel Javanmard, Daniel J. Hsu and Sham M. Kakade
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning
Arash Afkanpour, András György, Michael Bowling and Csaba Szepesvári
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Large-Scale Bandit Problems and KWIK Learning
Kareem Amin, Michael Kearns, Moez Draief and Jacob D. Abernethy
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013