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All publications at Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12)
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Multi-label Subspace Ensemble
Tianyi Zhou and Dacheng Tao
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Online Incremental Feature Learning with Denoising Autoencoders
Guanyu Zhou, Kihyuk Sohn and Honglak Lee
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Beta-Negative Binomial Process and Poisson Factor Analysis
Mingyuan Zhou, Lauren Hannah, David B. Dunson and Lawrence Carin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Sparse Additive Machine
Tuo Zhao and Han Liu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling
Zhihua Zhang, Dakan Wang and Edward Y. Chang
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Composite Likelihood View for Multi-Label Classification
Yi Zhang and Jeff Schneider
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach
Kai Zhang, Liang Lan, Zhuang Wang and Fabian Moerchen
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers
Caoxie Zhang, Honglak Lee and Kang G. Shin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
Hyokun Yun and S.v.n. Vishwanathan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Forward Basis Selection for Sparse Approximation over Dictionary
Xiaotong Yuan and Shuicheng Yan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Transductive Learning of Structural SVMs via Prior Knowledge Constraints
Chun-nam Yu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Perturbation based Large Margin Approach for Ranking
Eunho Yang, Ambuj Tewari and Pradeep D. Ravikumar
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Active Learning from Multiple Knowledge Sources
Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao and Jennifer G. Dy
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Robust Multi-task Regression with Grossly Corrupted Observations
Huan Xu and Chenlei Leng
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Statistical Optimization in High Dimensions
Huan Xu, Constantine Caramanis and Shie Mannor
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Primal-Dual methods for sparse constrained matrix completion
Yu Xin and Tommi Jaakkola
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Causality with Gates
John Winn
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Generalized Optimal Reverse Prediction
Martha White and Dale Schuurmans
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Nonlinear low-dimensional regression using auxiliary coordinates
Weiran Wang and Miguel Á. Carreira-perpiñán
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Hybrid Neural Network-Latent Topic Model
Li Wan, Leo Zhu and Rob Fergus
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Minimax Rates of Estimation for Sparse PCA in High Dimensions
Vincent Q. Vu and Jing Lei
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Group Factor Analysis
Seppo Virtanen, Arto Klami, Suleiman A. Khan and Samuel Kaski
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Krylov Subspace Descent for Deep Learning
Oriol Vinyals and Daniel Povey
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Learning from Weak Teachers
Ruth Urner, Shai Ben-david and Ohad Shamir
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Bayesian Analysis of the Radioactive Releases of Fukushima
Ryota Tomioka and Morten Mørup
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Fast Variational Mode-Seeking
Bo Thiesson and Jingu Kim
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Structured Output Learning with High Order Loss Functions
Daniel Tarlow and Richard S. Zemel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Randomized Optimum Models for Structured Prediction
Daniel Tarlow, Ryan P. Adams and Richard S. Zemel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Multiresolution Deep Belief Networks
Yichuan Tang and Abdel-rahman Mohamed
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Lifted Variable Elimination with Arbitrary Constraints
Nima Taghipour, Daan Fierens, Jesse Davis and Hendrik Blockeel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Estimation and Selection for Topic Models
Matt Taddy
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness
Taiji Suzuki and Masashi Sugiyama
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Efficient and Exact MAP-MRF Inference using Branch and Bound
Min Sun, Murali Telaprolu, Honglak Lee and Silvio Savarese
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Learning Fourier Sparse Set Functions
Peter Stobbe and Andreas Krause
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach
Florian Stimberg, Andreas Ruttor and Manfred Opper
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Flexible Martingale Priors for Deep Hierarchies
Jacob Steinhardt and Zoubin Ghahramani
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Testing for Membership to the IFRA and the NBU Classes of Distributions
Radhendushka Srivastava, Ping Li and Debasis Sengupta
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Consistency and Rates for Clustering with DBSCAN
Bharath K. Sriperumbudur and Ingo Steinwart
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Graphlet decomposition of a weighted network
Hossein A. Soufiani and Edo Airoldi
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization
Kyung-ah Sohn and Seyoung Kim
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Nonparametric Guidance for Learning Autoencoder Representations
Jasper Snoek, Ryan P. Adams and Hugo Larochelle
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Low rank continuous-space graphical models
Carl Smith, Frank Wood and Liam Paninski
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Bisubmodular Maximization
Ajit P. Singh, Andrew Guillory and Jeff Bilmes
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Multi-armed Bandit Problems with History
Pannagadatta K. Shivaswamy and Thorsten Joachims
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Complexity of Bethe Approximation
Jinwoo Shin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Sparsistency of the Edge Lasso over Graphs
James Sharpnack, Aarti Singh and Alessandro Rinaldo
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Using More Data to Speed-up Training Time
Shai Shalev-shwartz, Ohad Shamir and Eran Tromer
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
Matthias Seeger and Guillaume Bouchard
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
Martin Schiegg, Marion Neumann and Kristian Kersting
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
Simo Särkkä and Jouni Hartikainen
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
Avneesh S. Saluja, Priya K. Sundararajan and Ole J. Mengshoel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Local Anomaly Detection
Venkatesh Saligrama and Manqi Zhao
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Domain Adaptation: A Small Sample Statistical Approach
Ruslan Salakhutdinov, Sham M. Kakade and Dean P. Foster
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Exploiting Unrelated Tasks in Multi-Task Learning
Bernardino Romera-paredes, Andreas Argyriou, Nadia Berthouze and Massimiliano Pontil
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Universal Measurement Bounds for Structured Sparse Signal Recovery
Nikhil S. Rao, Ben Recht and Robert D. Nowak
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Constrained 1-Spectral Clustering
Syama S. Rangapuram and Matthias Hein
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Arun Rajkumar and Shivani Agarwal
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Deep Learning Made Easier by Linear Transformations in Perceptrons
Tapani Raiko, Harri Valpola and Yann Lecun
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Nonparametric Estimation of Conditional Information and Divergences
Barnabás Póczos and Jeff G. Schneider
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Informative Priors for Markov Blanket Discovery
Adam Pocock, Mikel Luján and Gavin Brown
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Fast interior-point inference in high-dimensional sparse, penalized state-space models
Eftychios A. Pnevmatikakis and Liam Paninski
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Part {\&} Clamp: Efficient Structured Output Learning
Patrick Pletscher and Cheng S. Ong
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Learning Low-order Models for Enforcing High-order Statistics
Patrick Pletscher and Pushmeet Kohli
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
Jian Peng, Tamir Hazan, Nathan Srebro and Jinbo Xu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap
Alexander Paprotny and Jochen Garcke
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Stick-Breaking Beta Processes and the Poisson Process
John W. Paisley, David M. Blei and Michael I. Jordan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis
Zhijian Ou and Yang Zhang
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Quadrature for Ratios
Michael A. Osborne, Roman Garnett, Stephen J. Roberts, Christopher Hart, Suzanne Aigrain and Neale Gibson
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Beyond Logarithmic Bounds in Online Learning
Francesco Orabona, Nicolò Cesa-bianchi and Claudio Gentile
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views
Donglin Niu, Jennifer G. Dy and Zoubin Ghahramani
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Maximum Margin Temporal Clustering
Minh H. Nguyen and Fernando Torre
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


The adversarial stochastic shortest path problem with unknown transition probabilities
Gergely Neu, András György and Csaba Szepesvári
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Deep Boltzmann Machines as Feed-Forward Hierarchies
Grégoire Montavon, Mikio L. Braun and Klaus-robert Müller
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Lifted Linear Programming
Martin Mladenov, Babak Ahmadi and Kristian Kersting
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Max-Margin Min-Entropy Models
Kevin Miller, M. P. Kumar, Benjamin Packer, Danny Goodman and Daphne Koller
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Globally Optimizing Graph Partitioning Problems Using Message Passing
Elad Mezuman and Yair Weiss
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Movement Segmentation and Recognition for Imitation Learning
Franziska Meier, Evangelos Theodorou and Stefan Schaal
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Adaptive MCMC with Bayesian Optimization
Nimalan Mahendran, Ziyu Wang, Firas Hamze and Nando D. Freitas
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling
Jaakko Luttinen and Alexander Ilin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models
Jörg Lücke and Marc Henniges
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Simple Geometric Interpretation of SVM using Stochastic Adversaries
Roi Livni, Koby Crammer and Amir Globerson
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


High-Dimensional Structured Feature Screening Using Binary Markov Random Fields
Jie Liu, Chunming Zhang, Catherine A. Mccarty, Peggy L. Peissig, Elizabeth S. Burnside and David Page
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation
Guangcan Liu, Huan Xu and Shuicheng Yan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Efficient Sampling from Combinatorial Space via Bridging
Dahua Lin and John Iii
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Data dependent kernels in nearly-linear time
Guy Lever, Tom Diethe and John Shawe-taylor
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Efficient Hypergraph Clustering
Marius Leordeanu and Cristian Sminchisescu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
Alexandre Lacoste, Françcois Laviolette and Mario Marchand
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Message-Passing Algorithms for MAP Estimation Using DC Programming
Akshat Kumar, Shlomo Zilberstein and Marc Toussaint
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
J. Z. Kolter and Tommi Jaakkola
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Marginal Regression For Multitask Learning
Mladen Kolar and Han Liu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Multiple Texture Boltzmann Machines
Jyri J. Kivinen and Christopher Williams
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Regression for sets of polynomial equations
Franz J. Király, Paul V. Bünau, Jan S. Müller, Duncan Blythe, Frank C. Meinecke and Klaus-robert Müller
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian Classifier Combination
Hyun-chul Kim and Zoubin Ghahramani
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
Mohammad E. Khan, Shakir Mohamed, Benjamin M. Marlin and Kevin P. Murphy
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Online Clustering of Processes
Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary and Philippe Preux
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Bayesian Upper Confidence Bounds for Bandit Problems
Emilie Kaufmann, Olivier Cappé and Aurélien Garivier
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Random Feature Maps for Dot Product Kernels
Purushottam Kar and Harish Karnick
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
Christopher C. Johnson, Ali Jalali and Pradeep D. Ravikumar
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Detecting Network Cliques with Radon Basis Pursuit
Xiaoye Jiang, Yuan Yao, Han Liu and Leonidas J. Guibas
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Variance Minimization Criterion to Active Learning on Graphs
Ming Ji and Jiawei Han
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Subset Infinite Relational Models
Katsuhiko Ishiguro, Naonori Ueda and Hiroshi Sawada
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Variable Selection for Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Irina Rish and Guillermo A. Cecchi
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Stochastic Bandit Based on Empirical Moments
Junya Honda and Akimichi Takemura
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Kernel Topic Models
Philipp Hennig, David H. Stern, Ralf Herbrich and Thore Graepel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior
Fares Hedayati and Peter L. Bartlett
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Evaluation of marginal likelihoods via the density of states
Michael Habeck
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Locality Preserving Feature Learning
Quanquan Gu, Marina Danilevsky, Zhenhui Li and Jiawei Han
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
Marco Grzegorczyk and Dirk Husmeier
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


SpeedBoost: Anytime Prediction with Uniform Near-Optimality
Alexander Grubb and Drew Bagnell
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems
Yuri Grinberg and Doina Precup
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Scalable Inference on Kingman's Coalescent using Pair Similarity
Dilan Görür, Levi Boyles and Max Welling
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Regularization Paths with Guarantees for Convex Semidefinite Optimization
Joachim Giesen, Martin Jaggi and Sören Laue
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


UPAL: Unbiased Pool Based Active Learning
Ravi Ganti and Alexander G. Gray
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Hierarchical Latent Dictionaries for Models of Brain Activation
Alona Fyshe, Emily B. Fox, David B. Dunson and Tom M. Mitchell
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Factorized Asymptotic Bayesian Inference for Mixture Modeling
Ryohei Fujimaki and Satoshi Morinaga
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields
Antonino Freno
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


No Internal Regret via Neighborhood Watch
Dean P. Foster and Alexander Rakhlin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


High-Rank Matrix Completion
Brian Eriksson, Laura Balzano and Robert Nowak
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Statistical test for consistent estimation of causal effects in linear non-Gaussian models
Doris Entner, Patrik O. Hoyer and Peter Spirtes
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Lightning-speed Structure Learning of Nonlinear Continuous Networks
Gal Elidan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Copula Network Classifiers (CNCs)
Gal Elidan
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space
Robert J. Durrant and Ata Kabán
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Lifted coordinate descent for learning with trace-norm regularization
Miroslav Dudík, Za\"ıd Harchaoui and Jérôme Malick
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Generic Methods for Optimization-Based Modeling
Justin Domke
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A metric learning perspective of SVM: on the relation of LMNN and SVM
Huyen Do, Alexandros Kalousis, Jun Wang and Adam Woznica
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Deterministic Annealing for Semi-Supervised Structured Output Learning
Paramveer S. Dhillon, S. S. Keerthi, Kedar Bellare, Olivier Chapelle and Sundararajan Sellamanickam
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems
Ofer Dekel and Ohad Shamir
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Protocols for Learning Classifiers on Distributed Data
Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian and Hal Daume
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Hierarchical Relative Entropy Policy Search
Christian Daniel, Gerhard Neumann and Jan R. Peters
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Wilks' phenomenon and penalized likelihood-ratio test for nonparametric curve registration
Arnak S. Dalalyan and Olivier Collier
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Gaussian Processes for time-marked time-series data
John Cunningham, Zoubin Ghahramani and Carl E. Rasmussen
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression
Bryan Conroy and Paul Sajda
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Minimax hypothesis testing for curve registration
Olivier Collier
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Online Clustering with Experts
Anna Choromanska and Claire Monteleoni
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Classifier Cascade for Minimizing Feature Evaluation Cost
Minmin Chen, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem and Zhixiang Xu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan Mills, Charles Lee and Jinbo Xu
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Structured Sparse Canonical Correlation Analysis
Xi Chen, Han Liu and Jaime G. Carbonell
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Information Theoretic Model Validation for Spectral Clustering
Morteza H. Chehreghani, Alberto G. Busetto and Joachim M. Buhmann
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier and Rémi Munos
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Optimistic planning for Markov decision processes
Lucian Busoniu and Rémi Munos
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
David Buchman, Mark W. Schmidt, Shakir Mohamed, David Poole and Nando D. Freitas
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A Family of MCMC Methods on Implicitly Defined Manifolds
Marcus A. Brubaker, Mathieu Salzmann and Raquel Urtasun
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Sample Complexity of Composite Likelihood
Joseph K. Bradley and Carlos Guestrin
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Antoine Bordes, Xavier Glorot, Jason Weston and Yoshua Bengio
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


History-alignment models for bias-aware prediction of virological response to HIV combination therapy
Jasmina Bogojeska, Daniel Stöckel, Maurizio Zazzi, Rolf Kaiser, Francesca Incardona, Michal Rosen-zvi and Thomas Lengauer
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels
Wei Bian, Bo Xie and Dacheng Tao
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Controlling Selection Bias in Causal Inference
Elias Bareinboim and Judea Pearl
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Adaptive Metropolis with Online Relabeling
Rémi Bardenet, Olivier Cappé, Gersende Fort and Balázs Kégl
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


A General Framework for Structured Sparsity via Proximal Optimization
Luca Baldassarre, Jean Morales, Andreas Argyriou and Massimiliano Pontil
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection
Guha Balakrishnan and Zeeshan Syed
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Minimax rates for homology inference
Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy, Aarti Singh and Larry A. Wasserman
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Memory-efficient inference in dynamic graphical models using multiple cores
Galen Andrew and Jeff Bilmes
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Factorized Diffusion Map Approximation
Saeed Amizadeh, Hamed Valizadegan and Milos Hauskrecht
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Sparse Higher-Order Principal Components Analysis
Genevera Allen
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Contextual Bandit Learning with Predictable Rewards
Alekh Agarwal, Miroslav Dudík, Satyen Kale, John Langford and Robert E. Schapire
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Discriminative Mixtures of Sparse Latent Fields for Risk Management
Felix V. Agakov, Peter Orchard and Amos J. Storkey
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits
Yasin Abbasi-yadkori, Dávid Pál and Csaba Szepesvári
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012