| 2012 | A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices. Mingjun Zhong, Mark A. Girolami |
| 2012 | A Binary Classification Framework for Two-Stage Multiple Kernel Learning. Abhishek Kumar, Alexandru Niculescu-Mizil, Koray Kavukcuoglu, Hal Daumé III |
| 2012 | A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion. Franz J. Király, Ryota Tomioka |
| 2012 | A Complete Analysis of the l_1, p Group-Lasso. Julia E. Vogt, Volker Roth |
| 2012 | A Convex Feature Learning Formulation for Latent Task Structure Discovery. Pratik Jawanpuria, J. Saketha Nath |
| 2012 | A Dantzig Selector Approach to Temporal Difference Learning. Matthieu Geist, Bruno Scherrer, Alessandro Lazaric, Mohammad Ghavamzadeh |
| 2012 | A Generalized Loop Correction Method for Approximate Inference in Graphical Models. Siamak Ravanbakhsh, Chun-Nam Yu, Russell Greiner |
| 2012 | A Generative Process for Contractive Auto-Encoders. Salah Rifai, Yann N. Dauphin, Pascal Vincent, Yoshua Bengio |
| 2012 | A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training. Aaron Defazio, Tibério S. Caetano |
| 2012 | A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling. Drausin Wulsin, Shane Jensen, Brian Litt |
| 2012 | A Hybrid Algorithm for Convex Semidefinite Optimization. Sören Laue |
| 2012 | A Joint Model of Language and Perception for Grounded Attribute Learning. Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer, Liefeng Bo, Dieter Fox |
| 2012 | A Proximal-Gradient Homotopy Method for the L1-Regularized Least-Squares Problem. Lin Xiao, Tong Zhang |
| 2012 | A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound. Ming Ji, Tianbao Yang, Binbin Lin, Rong Jin, Jiawei Han |
| 2012 | A Split-Merge Framework for Comparing Clusterings. Qiaoliang Xiang, Qi Mao, Kian Ming Adam Chai, Hai Leong Chieu, Ivor W. Tsang, Zhendong Zhao |
| 2012 | A Topic Model for Melodic Sequences. Athina Spiliopoulou, Amos J. Storkey |
| 2012 | A Unified Robust Classification Model. Akiko Takeda, Hiroyuki Mitsugi, Takafumi Kanamori |
| 2012 | A convex relaxation for weakly supervised classifiers. Armand Joulin, Francis R. Bach |
| 2012 | A fast and simple algorithm for training neural probabilistic language models. Andriy Mnih, Yee Whye Teh |
| 2012 | AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem. Peng Sun, Mark D. Reid, Jie Zhou |
| 2012 | Active Learning for Matching Problems. Laurent Charlin, Richard S. Zemel, Craig Boutilier |
| 2012 | Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy |
| 2012 | Adaptive Regularization for Similarity Measures. Koby Crammer, Gal Chechik |
| 2012 | Agglomerative Bregman Clustering. Matus Telgarsky, Sanjoy Dasgupta |
| 2012 | Agnostic System Identification for Model-Based Reinforcement Learning. Stéphane Ross, Drew Bagnell |
| 2012 | An Efficient Approach to Sparse Linear Discriminant Analysis. Luis Francisco Sánchez Merchante, Yves Grandvalet, Gérard Govaert |
| 2012 | An Infinite Latent Attribute Model for Network Data. Konstantina Palla, David A. Knowles, Zoubin Ghahramani |
| 2012 | An Iterative Locally Linear Embedding Algorithm. Deguang Kong, Chris H. Q. Ding, Heng Huang, Feiping Nie |
| 2012 | An Online Boosting Algorithm with Theoretical Justifications. Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu |
| 2012 | An adaptive algorithm for finite stochastic partial monitoring. Gábor Bartók, Navid Zolghadr, Csaba Szepesvári |
| 2012 | Analysis of Kernel Mean Matching under Covariate Shift. Yaoliang Yu, Csaba Szepesvári |
| 2012 | Anytime Marginal MAP Inference. Denis Deratani Mauá, Cassio Polpo de Campos |
| 2012 | Apprenticeship Learning for Model Parameters of Partially Observable Environments. Takaki Makino, Johane Takeuchi |
| 2012 | Approximate Dynamic Programming By Minimizing Distributionally Robust Bounds. Marek Petrik |
| 2012 | Approximate Modified Policy Iteration. Bruno Scherrer, Victor Gabillon, Mohammad Ghavamzadeh, Matthieu Geist |
| 2012 | Approximate Principal Direction Trees. Mark McCartin-Lim, Andrew McGregor, Rui Wang |
| 2012 | Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting. Ning Xie, Hirotaka Hachiya, Masashi Sugiyama |
| 2012 | Batch Active Learning via Coordinated Matching. Javad Azimi, Alan Fern, Xiaoli Zhang Fern, Glencora Borradaile, Brent Heeringa |
| 2012 | Bayesian Conditional Cointegration. Chris Bracegirdle, David Barber |
| 2012 | Bayesian Efficient Multiple Kernel Learning. Mehmet Gönen |
| 2012 | Bayesian Nonexhaustive Learning for Online Discovery and Modeling of Emerging Classes. Murat Dundar, Ferit Akova, Yuan (Alan) Qi, Bartek Rajwa |
| 2012 | Bayesian Optimal Active Search and Surveying. Roman Garnett, Yamuna Krishnamurthy, Xuehan Xiong, Jeff G. Schneider, Richard P. Mann |
| 2012 | Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring. Sungjin Ahn, Anoop Korattikara Balan, Max Welling |
| 2012 | Bayesian Watermark Attacks. Ivo Shterev, David B. Dunson |
| 2012 | Bounded Planning in Passive POMDPs. Roy Fox, Naftali Tishby |
| 2012 | Building high-level features using large scale unsupervised learning. Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Greg Corrado, Kai Chen, Jeffrey Dean, Andrew Y. Ng |
| 2012 | Canonical Trends: Detecting Trend Setters in Web Data. Felix Bießmann, Jens-Michalis Papaioannou, Mikio L. Braun, Andreas Harth |
| 2012 | Capturing topical content with frequency and exclusivity. Jonathan Bischof, Edoardo M. Airoldi |
| 2012 | Clustering by Low-Rank Doubly Stochastic Matrix Decomposition. Zhirong Yang, Erkki Oja |
| 2012 | Clustering to Maximize the Ratio of Split to Diameter. Jiabing Wang, Jiaye Chen |
| 2012 | Clustering using Max-norm Constrained Optimization. Ali Jalali, Nathan Srebro |
| 2012 | Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems. Sanjay Purushotham, Yan Liu |
| 2012 | Communications Inspired Linear Discriminant Analysis. Minhua Chen, William R. Carson, Miguel R. D. Rodrigues, Lawrence Carin, A. Robert Calderbank |
| 2012 | Compact Hyperplane Hashing with Bilinear Functions. Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang |
| 2012 | Comparison-Based Learning with Rank Nets. Amin Karbasi, Stratis Ioannidis, Laurent Massoulié |
| 2012 | Complexity Analysis of the Lasso Regularization Path. Julien Mairal, Bin Yu |
| 2012 | Compositional Planning Using Optimal Option Models. David Silver, Kamil Ciosek |
| 2012 | Conditional Sparse Coding and Grouped Multivariate Regression. Min Xu, John D. Lafferty |
| 2012 | Conditional mean embeddings as regressors. Steffen Grünewälder, Guy Lever, Arthur Gretton, Luca Baldassarre, Sam Patterson, Massimiliano Pontil |
| 2012 | Consistent Covariance Selection From Data With Missing Values. Mladen Kolar, Eric P. Xing |
| 2012 | Consistent Multilabel Ranking through Univariate Losses. Krzysztof Dembczynski, Wojciech Kotlowski, Eyke Hüllermeier |
| 2012 | Continuous Inverse Optimal Control with Locally Optimal Examples. Sergey Levine, Vladlen Koltun |
| 2012 | Convergence Rates for Differentially Private Statistical Estimation. Kamalika Chaudhuri, Daniel J. Hsu |
| 2012 | Convergence Rates of Biased Stochastic Optimization for Learning Sparse Ising Models. Jean Honorio |
| 2012 | Convergence of the EM Algorithm for Gaussian Mixtures with Unbalanced Mixing Coefficients. Iftekhar Naim, Daniel Gildea |
| 2012 | Conversational Speech Transcription Using Context-Dependent Deep Neural Networks. Dong Yu, Frank Seide, Gang Li |
| 2012 | Convex Multitask Learning with Flexible Task Clusters. Wenliang Zhong, James Tin-Yau Kwok |
| 2012 | Copula Mixture Model for Dependency-seeking Clustering. Mélanie Rey, Volker Roth |
| 2012 | Copula-based Kernel Dependency Measures. Barnabás Póczos, Zoubin Ghahramani, Jeff G. Schneider |
| 2012 | Cross Language Text Classification via Subspace Co-regularized Multi-view Learning . Yuhong Guo, Min Xiao |
| 2012 | Cross-Domain Multitask Learning with Latent Probit Models. Shaobo Han, Xuejun Liao, Lawrence Carin |
| 2012 | Data-driven Web Design. Ranjitha Kumar, Jerry O. Talton, Salman Ahmad, Scott R. Klemmer |
| 2012 | Decoupling Exploration and Exploitation in Multi-Armed Bandits. Orly Avner, Shie Mannor, Ohad Shamir |
| 2012 | Deep Lambertian Networks. Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton |
| 2012 | Deep Mixtures of Factor Analysers. Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton |
| 2012 | Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events. Jesse Davis, Vítor Santos Costa, Elizabeth Berg, David Page, Peggy L. Peissig, Michael Caldwell |
| 2012 | Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling. Changyou Chen, Nan Ding, Wray L. Buntine |
| 2012 | Dimensionality Reduction by Local Discriminative Gaussians. Nathan Parrish, Maya R. Gupta |
| 2012 | Dirichlet Process with Mixed Random Measures: A Nonparametric Topic Model for Labeled Data. Dongwoo Kim, Suin Kim, Alice Oh |
| 2012 | Discovering Support and Affiliated Features from Very High Dimensions. Yiteng Zhai, Mingkui Tan, Ivor W. Tsang, Yew-Soon Ong |
| 2012 | Discriminative Probabilistic Prototype Learning. Edwin V. Bonilla, Antonio Robles-Kelly |
| 2012 | Distributed Parameter Estimation via Pseudo-likelihood . Qiang Liu, Alexander Ihler |
| 2012 | Distributed Tree Kernels. Fabio Massimo Zanzotto, Lorenzo Dell'Arciprete |
| 2012 | Efficient Active Algorithms for Hierarchical Clustering. Akshay Krishnamurthy, Sivaraman Balakrishnan, Min Xu, Aarti Singh |
| 2012 | Efficient Decomposed Learning for Structured Prediction. Rajhans Samdani, Dan Roth |
| 2012 | Efficient Euclidean Projections onto the Intersection of Norm Balls. Adams Wei Yu, Hao Su, Li Fei-Fei |
| 2012 | Efficient Structured Prediction with Latent Variables for General Graphical Models. Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun |
| 2012 | Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization. Haim Avron, Satyen Kale, Shiva Prasad Kasiviswanathan, Vikas Sindhwani |
| 2012 | Ensemble Methods for Convex Regression with Applications to Geometric Programming Based Circuit Design. Lauren Hannah, David B. Dunson |
| 2012 | Estimating the Hessian by Back-propagating Curvature. James Martens, Ilya Sutskever, Kevin Swersky |
| 2012 | Estimation of Simultaneously Sparse and Low Rank Matrices. Pierre-André Savalle, Emile Richard, Nicolas Vayatis |
| 2012 | Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning . Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani |
| 2012 | Exact Maximum Margin Structure Learning of Bayesian Networks. Robert Peharz, Franz Pernkopf |
| 2012 | Exact Soft Confidence-Weighted Learning. Steven C. H. Hoi, Jialei Wang, Peilin Zhao |
| 2012 | Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval. Tomasz Malisiewicz, Abhinav Shrivastava, Abhinav Gupta, Alexei A. Efros |
| 2012 | Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations. Nando de Freitas, Alexander J. Smola, Masrour Zoghi |
| 2012 | Factorized Asymptotic Bayesian Hidden Markov Models. Ryohei Fujimaki, Kohei Hayashi |
| 2012 | Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu |
| 2012 | Fast Computation of Subpath Kernel for Trees. Daisuke Kimura, Hisashi Kashima |
| 2012 | Fast Prediction of New Feature Utility. Hoyt A. Koepke, Mikhail Bilenko |
| 2012 | Fast Training of Nonlinear Embedding Algorithms. Max Vladymyrov, Miguel Á. Carreira-Perpiñán |
| 2012 | Fast approximation of matrix coherence and statistical leverage. Michael W. Mahoney, Petros Drineas, Malik Magdon-Ismail, David P. Woodruff |
| 2012 | Fast classification using sparse decision DAGs. Róbert Busa-Fekete, Djalel Benbouzid, Balázs Kégl |
| 2012 | Feature Selection via Probabilistic Outputs. Andrea Pohoreckyj Danyluk, Nicholas Arnosti |
| 2012 | Finding Botnets Using Minimal Graph Clusterings. Peter Haider, Tobias Scheffer |
| 2012 | Flexible Modeling of Latent Task Structures in Multitask Learning. Alexandre Passos, Piyush Rai, Jacques Wainer, Hal Daumé III |
| 2012 | Gap Filling in the Plant Kingdom - Trait Prediction Using Hierarchical Probabilistic Matrix Factorization. Hanhuai Shan, Jens Kattge, Peter B. Reich, Arindam Banerjee, Franziska Schrodt, Markus Reichstein |
| 2012 | Gaussian Process Quantile Regression using Expectation Propagation. Alexis Boukouvalas, Remi Louis Barillec, Dan Cornford |
| 2012 | Gaussian Process Regression Networks. Andrew Gordon Wilson, David A. Knowles, Zoubin Ghahramani |
| 2012 | Greedy Algorithms for Sparse Reinforcement Learning. Christopher Painter-Wakefield, Ronald Parr |
| 2012 | Group Sparse Additive Models. Junming Yin, Xi Chen, Eric P. Xing |
| 2012 | Groupwise Constrained Reconstruction for Subspace Clustering. Ruijiang Li, Bin Li, Cheng Jin, Xiangyang Xue |
| 2012 | Hierarchical Exploration for Accelerating Contextual Bandits. Yisong Yue, Sue Ann Hong, Carlos Guestrin |
| 2012 | High Dimensional Semiparametric Gaussian Copula Graphical Models. Han Liu, Fang Han, Ming Yuan, John D. Lafferty, Larry A. Wasserman |
| 2012 | High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains. Majid Janzamin, Animashree Anandkumar |
| 2012 | How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing. Yoram Bachrach, Thore Graepel, Tom Minka, John Guiver |
| 2012 | Hybrid Batch Bayesian Optimization. Javad Azimi, Ali Jalali, Xiaoli Zhang Fern |
| 2012 | Hypothesis testing using pairwise distances and associated kernels. Dino Sejdinovic, Arthur Gretton, Bharath K. Sriperumbudur, Kenji Fukumizu |
| 2012 | Improved Estimation in Time Varying Models. Doina Precup, Philip Bachman |
| 2012 | Improved Information Gain Estimates for Decision Tree Induction. Sebastian Nowozin |
| 2012 | Improved Nystrom Low-rank Decomposition with Priors. Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber |
| 2012 | Incorporating Causal Prior Knowledge as Path-Constraints in Bayesian Networks and Maximal Ancestral Graphs. Giorgos Borboudakis, Ioannis Tsamardinos |
| 2012 | Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis. Deepti Pachauri, Maxwell D. Collins, Vikas Singh |
| 2012 | Inferring Latent Structure From Mixed Real and Categorical Relational Data. Esther Salazar, Lawrence Carin |
| 2012 | Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis. Zenglin Xu, Feng Yan, Yuan (Alan) Qi |
| 2012 | Influence Maximization in Continuous Time Diffusion Networks. Manuel Gomez-Rodriguez, Bernhard Schölkopf |
| 2012 | Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation. Yuan Shi, Fei Sha |
| 2012 | Information-theoretic Semi-supervised Metric Learning via Entropy Regularization. Gang Niu, Bo Dai, Makoto Yamada, Masashi Sugiyama |
| 2012 | Is margin preserved after random projection?. Qinfeng Shi, Chunhua Shen, Rhys Hill, Anton van den Hengel |
| 2012 | Isoelastic Agents and Wealth Updates in Machine Learning Markets. Amos J. Storkey, Jono Millin, Krzysztof J. Geras |
| 2012 | Joint Optimization and Variable Selection of High-dimensional Gaussian Processes. Bo Chen, Rui M. Castro, Andreas Krause |
| 2012 | LPQP for MAP: Putting LP Solvers to Better Use. Patrick Pletscher, Sharon Wulff |
| 2012 | Large Scale Variational Bayesian Inference for Structured Scale Mixture Models. Young-Jun Ko, Matthias W. Seeger |
| 2012 | Large-Scale Feature Learning With Spike-and-Slab Sparse Coding. Ian J. Goodfellow, Aaron C. Courville, Yoshua Bengio |
| 2012 | Latent Collaborative Retrieval. Jason Weston, Chong Wang, Ron J. Weiss, Adam Berenzweig |
| 2012 | Latent Multi-group Membership Graph Model. Myunghwan Kim, Jure Leskovec |
| 2012 | Learning Efficient Structured Sparse Models. Alexander M. Bronstein, Pablo Sprechmann, Guillermo Sapiro |
| 2012 | Learning Force Control Policies for Compliant Robotic Manipulation. Mrinal Kalakrishnan, Ludovic Righetti, Peter Pastor, Stefan Schaal |
| 2012 | Learning Invariant Representations with Local Transformations. Kihyuk Sohn, Honglak Lee |
| 2012 | Learning Object Arrangements in 3D Scenes using Human Context. Yun Jiang, Marcus Lim, Ashutosh Saxena |
| 2012 | Learning Parameterized Skills. Bruno Castro da Silva, George Dimitri Konidaris, Andrew G. Barto |
| 2012 | Learning Task Grouping and Overlap in Multi-task Learning. Abhishek Kumar, Hal Daumé III |
| 2012 | Learning the Central Events and Participants in Unlabeled Text. Nathanael Chambers, Dan Jurafsky |
| 2012 | Learning the Dependence Graph of Time Series with Latent Factors. Ali Jalali, Sujay Sanghavi |
| 2012 | Learning the Experts for Online Sequence Prediction. Elad Eban, Aharon Birnbaum, Shai Shalev-Shwartz, Amir Globerson |
| 2012 | Learning to Identify Regular Expressions that Describe Email Campaigns. Paul Prasse, Christoph Sawade, Niels Landwehr, Tobias Scheffer |
| 2012 | Learning to Label Aerial Images from Noisy Data. Volodymyr Mnih, Geoffrey E. Hinton |
| 2012 | Learning with Augmented Features for Heterogeneous Domain Adaptation. Lixin Duan, Dong Xu, Ivor W. Tsang |
| 2012 | Levy Measure Decompositions for the Beta and Gamma Processes. Yingjian Wang, Lawrence Carin |
| 2012 | Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty. Shie Mannor, Ofir Mebel, Huan Xu |
| 2012 | Linear Off-Policy Actor-Critic. Thomas Degris, Martha White, Richard S. Sutton |
| 2012 | Linear Regression with Limited Observation. Elad Hazan, Tomer Koren |
| 2012 | Local Loss Optimization in Operator Models: A New Insight into Spectral Learning. Borja Balle, Ariadna Quattoni, Xavier Carreras |
| 2012 | Lognormal and Gamma Mixed Negative Binomial Regression. Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin |
| 2012 | Machine Learning that Matters. Kiri Wagstaff |
| 2012 | Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization. Alexander Rakhlin, Ohad Shamir, Karthik Sridharan |
| 2012 | Manifold Relevance Determination. Andreas C. Damianou, Carl Henrik Ek, Michalis K. Titsias, Neil D. Lawrence |
| 2012 | Marginalized Denoising Autoencoders for Domain Adaptation. Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha |
| 2012 | Max-Margin Nonparametric Latent Feature Models for Link Prediction. Jun Zhu |
| 2012 | Maximum Margin Output Coding. Yi Zhang, Jeff G. Schneider |
| 2012 | Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss. Shai Ben-David, David Loker, Nathan Srebro, Karthik Sridharan |
| 2012 | Modeling Images using Transformed Indian Buffet Processes. Ke Zhai, Yuening Hu, Jordan L. Boyd-Graber, Sinead Williamson |
| 2012 | Modeling Latent Variable Uncertainty for Loss-based Learning. M. Pawan Kumar, Benjamin Packer, Daphne Koller |
| 2012 | Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription. Nicolas Boulanger-Lewandowski, Yoshua Bengio, Pascal Vincent |
| 2012 | Modelling transition dynamics in MDPs with RKHS embeddings. Steffen Grünewälder, Guy Lever, Luca Baldassarre, Massimiliano Pontil, Arthur Gretton |
| 2012 | Monte Carlo Bayesian Reinforcement Learning. Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee |
| 2012 | Multi-level Lasso for Sparse Multi-task Regression. Aurélie C. Lozano, Grzegorz Swirszcz |
| 2012 | Multiple Kernel Learning from Noisy Labels by Stochastic Programming. Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Lijun Zhang, Yang Zhou |
| 2012 | Near-Optimal BRL using Optimistic Local Transitions. Mauricio Araya-López, Olivier Buffet, Vincent Thomas |
| 2012 | No-Regret Learning in Extensive-Form Games with Imperfect Recall. Marc Lanctot, Richard G. Gibson, Neil Burch, Michael Bowling |
| 2012 | Nonparametric Link Prediction in Dynamic Networks. Purnamrita Sarkar, Deepayan Chakrabarti, Michael I. Jordan |
| 2012 | Nonparametric variational inference. Samuel Gershman, Matthew D. Hoffman, David M. Blei |
| 2012 | On Local Regret. Michael Bowling, Martin Zinkevich |
| 2012 | On causal and anticausal learning. Bernhard Schölkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris M. Mooij |
| 2012 | On multi-view feature learning. Roland Memisevic |
| 2012 | On the Difficulty of Nearest Neighbor Search. Junfeng He, Sanjiv Kumar, Shih-Fu Chang |
| 2012 | On the Equivalence between Herding and Conditional Gradient Algorithms. Francis R. Bach, Simon Lacoste-Julien, Guillaume Obozinski |
| 2012 | On the Partition Function and Random Maximum A-Posteriori Perturbations. Tamir Hazan, Tommi S. Jaakkola |
| 2012 | On the Sample Complexity of Reinforcement Learning with a Generative Model . Mohammad Gheshlaghi Azar, Rémi Munos, Bert Kappen |
| 2012 | On the Size of the Online Kernel Sparsification Dictionary. Yi Sun, Faustino J. Gomez, Jürgen Schmidhuber |
| 2012 | On-Line Portfolio Selection with Moving Average Reversion. Bin Li, Steven C. H. Hoi |
| 2012 | Online Alternating Direction Method. Huahua Wang, Arindam Banerjee |
| 2012 | Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret. Ofer Dekel, Ambuj Tewari, Raman Arora |
| 2012 | Online Structured Prediction via Coactive Learning. Pannaga Shivaswamy, Thorsten Joachims |
| 2012 | Optimizing F-measure: A Tale of Two Approaches. Nan Ye, Kian Ming Adam Chai, Wee Sun Lee, Hai Leong Chieu |
| 2012 | Output Space Search for Structured Prediction. Janardhan Rao Doppa, Alan Fern, Prasad Tadepalli |
| 2012 | PAC Subset Selection in Stochastic Multi-armed Bandits. Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer, Peter Stone |
| 2012 | PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification. Emilie Morvant, Sokol Koço, Liva Ralaivola |
| 2012 | Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization. Thomas Desautels, Andreas Krause, Joel W. Burdick |
| 2012 | Path Integral Policy Improvement with Covariance Matrix Adaptation. Freek Stulp, Olivier Sigaud |
| 2012 | Plug-in martingales for testing exchangeability on-line. Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, Volodya Vovk |
| 2012 | Poisoning Attacks against Support Vector Machines. Battista Biggio, Blaine Nelson, Pavel Laskov |
| 2012 | Policy Gradients with Variance Related Risk Criteria. Dotan Di Castro, Aviv Tamar, Shie Mannor |
| 2012 | Predicting Consumer Behavior in Commerce Search. Or Sheffet, Nina Mishra, Samuel Ieong |
| 2012 | Predicting accurate probabilities with a ranking loss. Aditya Krishna Menon, Xiaoqian Jiang, Shankar Vembu, Charles Elkan, Lucila Ohno-Machado |
| 2012 | Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012 |
| 2012 | Projection-free Online Learning. Elad Hazan, Satyen Kale |
| 2012 | Quasi-Newton Methods: A New Direction. Philipp Hennig, Martin Kiefel |
| 2012 | Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations. James Neufeld, Yaoliang Yu, Xinhua Zhang, Ryan Kiros, Dale Schuurmans |
| 2012 | Residual Components Analysis. Alfredo A. Kalaitzis, Neil D. Lawrence |
| 2012 | Rethinking Collapsed Variational Bayes Inference for LDA. Issei Sato, Hiroshi Nakagawa |
| 2012 | Revisiting k-means: New Algorithms via Bayesian Nonparametrics. Brian Kulis, Michael I. Jordan |
| 2012 | Robust Classification with Adiabatic Quantum Optimization. Vasil S. Denchev, Nan Ding, S. V. N. Vishwanathan, Hartmut Neven |
| 2012 | Robust Multiple Manifold Structure Learning. Dian Gong, Xuemei Zhao, Gérard G. Medioni |
| 2012 | Robust PCA in High-dimension: A Deterministic Approach. Jiashi Feng, Huan Xu, Shuicheng Yan |
| 2012 | Safe Exploration in Markov Decision Processes . Teodor Mihai Moldovan, Pieter Abbeel |
| 2012 | Scaling Up Coordinate Descent Algorithms for Large Chad Scherrer, Mahantesh Halappanavar, Ambuj Tewari, David Haglin |
| 2012 | Scene parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers. Clément Farabet, Camille Couprie, Laurent Najman, Yann LeCun |
| 2012 | Semi-Supervised Collective Classification via Hybrid Label Regularization. Luke K. McDowell, David W. Aha |
| 2012 | Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching. Marthinus Christoffel du Plessis, Masashi Sugiyama |
| 2012 | Sequential Nonparametric Regression. Haijie Gu, John D. Lafferty |
| 2012 | Shortest path distance in random k-nearest neighbor graphs. Morteza Alamgir, Ulrike von Luxburg |
| 2012 | Similarity Learning for Provably Accurate Sparse Linear Classification. Aurélien Bellet, Amaury Habrard, Marc Sebban |
| 2012 | Small-sample brain mapping: sparse recovery on spatially correlated designs with randomization and clustering. Gaël Varoquaux, Alexandre Gramfort, Bertrand Thirion |
| 2012 | Smoothness and Structure Learning by Proxy . Benjamin Yackley, Terran Lane |
| 2012 | Sparse Additive Functional and Kernel CCA. Sivaraman Balakrishnan, Kriti Puniyani, John D. Lafferty |
| 2012 | Sparse Support Vector Infinite Push. Alain Rakotomamonjy |
| 2012 | Sparse stochastic inference for latent Dirichlet allocation. David M. Mimno, Matthew D. Hoffman, David M. Blei |
| 2012 | Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling. Yan Liu, Mohammad Taha Bahadori, Hongfei Li |
| 2012 | Stability of matrix factorization for collaborative filtering. Yu-Xiang Wang, Huan Xu |
| 2012 | State-Space Inference for Non-Linear Latent Force Models with Application to Satellite Orbit Prediction. Jouni Hartikainen, Mari Seppänen, Simo Särkkä |
| 2012 | Statistical linear estimation with penalized estimators: an application to reinforcement learning. Bernardo Ávila Pires, Csaba Szepesvári |
| 2012 | Stochastic Smoothing for Nonsmooth Minimizations: Accelerating SGD by Exploiting Structure. Hua Ouyang, Alexander G. Gray |
| 2012 | Structured Learning from Partial Annotations. Xinghua Lou, Fred A. Hamprecht |
| 2012 | Subgraph Matching Kernels for Attributed Graphs. Nils M. Kriege, Petra Mutzel |
| 2012 | Submodular Inference of Diffusion Networks from Multiple Trees. Manuel Gomez-Rodriguez, Bernhard Schölkopf |
| 2012 | The Big Data Bootstrap. Ariel Kleiner, Ameet Talwalkar, Purnamrita Sarkar, Michael I. Jordan |
| 2012 | The Convexity and Design of Composite Multiclass Losses. Mark D. Reid, Robert C. Williamson, Peng Sun |
| 2012 | The Greedy Miser: Learning under Test-time Budgets. Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle |
| 2012 | The Kernelized Stochastic Batch Perceptron. Andrew Cotter, Shai Shalev-Shwartz, Nathan Srebro |
| 2012 | The Landmark Selection Method for Multiple Output Prediction. Krishnakumar Balasubramanian, Guy Lebanon |
| 2012 | The Most Persistent Soft-Clique in a Set of Sampled Graphs. Novi Quadrianto, Chao Chen, Christoph H. Lampert |
| 2012 | The Nonparametric Metadata Dependent Relational Model. Dae Il Kim, Michael C. Hughes, Erik B. Sudderth |
| 2012 | Tighter Variational Representations of f-Divergences via Restriction to Probability Measures. Avraham Ruderman, Mark D. Reid, Dario García-García, James Petterson |
| 2012 | Total Variation and Euler's Elastica for Supervised Learning. Tong Lin, Hanlin Xue, Ling Wang, Hongbin Zha |
| 2012 | Training Restricted Boltzmann Machines on Word Observations. George E. Dahl, Ryan Prescott Adams, Hugo Larochelle |
| 2012 | TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing Multiple Ratings. Chao Liu, Yi-Min Wang |
| 2012 | Two Manifold Problems with Applications to Nonlinear System Identification. Byron Boots, Geoffrey J. Gordon |
| 2012 | Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation. Kendrick Boyd, Jesse Davis, David Page, Vítor Santos Costa |
| 2012 | Using CCA to improve CCA: A new spectral method for estimating vector models of words. Paramveer S. Dhillon, Jordan Rodu, Dean P. Foster, Lyle H. Ungar |
| 2012 | Utilizing Static Analysis and Code Generation to Accelerate Neural Networks. Lawrence C. McAfee, Kunle Olukotun |
| 2012 | Variance Function Estimation in High-dimensions. Mladen Kolar, James Sharpnack |
| 2012 | Variational Bayesian Inference with Stochastic Search. John W. Paisley, David M. Blei, Michael I. Jordan |
| 2012 | Variational Inference in Non-negative Factorial Hidden Markov Models for Efficient Audio Source Separation. Gautham J. Mysore, Maneesh Sahani |