icml2013.md

ICML2013

• Raphael Sznitman, Aurelien Lucchi, Peter Frazier, Bruno Jedynak, Pascal Fua. "An Optimal Policy for Target Localization with Application to Electron Microscopy" | [Home Page] | [PDF]

• Krikamol Muandet, David Balduzzi, Bernhard Schölkopf. "Domain Generalization via Invariant Feature Representation" | [Home Page] | [PDF]

• Byron Boots, Geoff Gordon. "A Spectral Learning Approach to Range-Only SLAM" | [Home Page] | [PDF]

• Ravi Kumar, Daniel Lokshtanov, Sergei Vassilvitskii, Andrea Vattani. "Near-Optimal Bounds for Cross-Validation via Loss Stability" | [Home Page] | [PDF]

• Nishant Mehta, Alexander Gray. "Sparsity-Based Generalization Bounds for Predictive Sparse Coding" | [Home Page] | [PDF]

• Xiaowei Zhang, Delin Chu. "Sparse Uncorrelated Linear Discriminant Analysis" | [Home Page] | [PDF]

• Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt, Patrick Pletscher. "Block-Coordinate Frank-Wolfe Optimization for Structural SVMs" | [Home Page] | [PDF]

• Philipp Hennig. "Fast Probabilistic Optimization from Noisy Gradients" | [Home Page] | [PDF]

• Ohad Shamir, Tong Zhang. "Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes" | [Home Page] | [PDF]

• Hua Ouyang, Niao He, Long Tran, Alexander Gray. "Stochastic Alternating Direction Method of Multipliers" | [Home Page] | [PDF]

• Yu-Xiang Wang, Huan Xu. "Noisy Sparse Subspace Clustering" | [Home Page] | [PDF]

• Sinead Williamson, Avinava Dubey, Eric Xing. "Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models" | [Home Page] | [PDF]

• Sébastien Giguère, François Laviolette, Mario Marchand, Khadidja Sylla. "Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction" | [Home Page] | [PDF]

• James Bergstra, Daniel Yamins, David Cox. "Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures" | [Home Page] | [PDF]

• Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang. "Gibbs Max-Margin Topic Models with Fast Sampling Algorithms" | [Home Page] | [PDF]

• Zhixiang Xu, Matt Kusner, Kilian Weinberger, Minmin Chen. "Cost-Sensitive Tree of Classifiers" | [Home Page] | [PDF]

• Xi Li, Guosheng Lin, Chunhua Shen, Anton Hengel, Anthony Dick. "Learning Hash Functions Using Column Generation" | [Home Page] | [PDF]

• Wei Chen, Yajun Wang, Yang Yuan. "Combinatorial Multi-Armed Bandit: General Framework and Applications" | [Home Page] | [PDF]

• Yuxin Chen, Andreas Krause. "Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization" | [Home Page] | [PDF]

• Huyen Do, Alexandros Kalousis. "Convex formulations of radius-margin based Support Vector Machines" | [Home Page] | [PDF]

• William L. Hamilton, Mahdi Milani Fard, Joelle Pineau. "Modelling Sparse Dynamical Systems with Compressed Predictive State Representations" | [Home Page] | [PDF]

• Aditya Menon, Omer Tamuz, Sumit Gulwani, Butler Lampson, Adam Kalai. "A Machine Learning Framework for Programming by Example" | [Home Page] | [PDF]

• Ross Girshick, Hyun Oh Song, Trevor Darrell. "Discriminatively Activated Sparselets" | [Home Page] | [PDF]

• Ofir Pele, Ben Taskar, Amir Globerson, Michael Werman. "The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification" | [Home Page] | [PDF]

• Quannan Li, Jingdong Wang, David Wipf, Zhuowen Tu. "Fixed-Point Model For Structured Labeling" | [Home Page] | [PDF]

• Boqing Gong, Kristen Grauman, Fei Sha. "Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation" | [Home Page] | [PDF]

• Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur. "Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization" | [Home Page] | [PDF]

• Fang Han, Han Liu. "Principal Component Analysis on non-Gaussian Dependent Data" | [Home Page] | [PDF]

• Animashree Anandkumar, Daniel Hsu, Adel Javanmard, Sham Kakade. "Learning Linear Bayesian Networks with Latent Variables" | [Home Page] | [PDF]

• Séebastian Bubeck, Tengyao Wang, Nitin Viswanathan. "Multiple Identifications in Multi-Armed Bandits" | [Home Page] | [PDF]

• Andrew Cotter, Shai Shalev-Shwartz, Nati Srebro. "Learning Optimally Sparse Support Vector Machines" | [Home Page] | [PDF]

• Creighton Heaukulani, Zoubin Ghahramani. "Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks" | [Home Page] | [PDF]

• Shuo Xiang, Xiaoshen Tong, Jieping Ye. "Efficient Sparse Group Feature Selection via Nonconvex Optimization" | [Home Page] | [PDF]

• Min Xiao, Yuhong Guo. "Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model" | [Home Page] | [PDF]

• Wenlin Chen, Kilian Weinberger, Yixin Chen. "Maximum Variance Correction with Application to A Search"* | [Home Page] | [PDF]

• Eleanor Wong, Suyash Awate, P. Thomas Fletcher. "Adaptive Sparsity in Gaussian Graphical Models" | [Home Page] | [PDF]

• Yuri Grinberg, Doina Precup. "Average Reward Optimization Objective In Partially Observable Domains" | [Home Page] | [PDF]

• Mladen Kolar, Han Liu. "Feature Selection in High-Dimensional Classification" | [Home Page] | [PDF]

• Harsh Pareek, Pradeep Ravikumar. "Human Boosting" | [Home Page] | [PDF]

• Haim Avron, Christos Boutsidis, Sivan Toledo, Anastasios Zouzias. "Efficient Dimensionality Reduction for Canonical Correlation Analysis" | [Home Page] | [PDF]

• Drausin Wulsin, Emily Fox, Brian Litt. "Parsing epileptic events using a Markov switching process model for correlated time series" | [Home Page] | [PDF]

• Aaditya Ramdas, Aarti Singh. "Optimal rates for stochastic convex optimization under Tsybakov noise condition" | [Home Page] | [PDF]

• Arash Afkanpour, András György, Csaba Szepesvari, Michael Bowling. "A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning" | [Home Page] | [PDF]

• Yudong Chen, Constantine Caramanis. "Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery" | [Home Page] | [PDF]

• Taiji Suzuki. "Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method" | [Home Page] | [PDF]

• Kilho Shin. "A New Frontier of Kernel Design for Structured Data" | [Home Page] | [PDF]

• Laurens Maaten, Minmin Chen, Stephen Tyree, Kilian Weinberger. "Learning with Marginalized Corrupted Features" | [Home Page] | [PDF]

• Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel. "Approximation properties of DBNs with binary hidden units and real-valued visible units" | [Home Page] | [PDF]

• Martin Jaggi. "Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization" | [Home Page] | [PDF]

• Tianqi Chen, Hang Li, Qiang Yang, Yong Yu. "General Functional Matrix Factorization Using Gradient Boosting" | [Home Page] | [PDF]

• Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi. "Iterative Learning and Denoising in Convolutional Neural Associative Memories" | [Home Page] | [PDF]

• Elad Gilboa, Yunus Saatçi, John Cunningham, Elad Gilboa. "Scaling Multidimensional Gaussian Processes using Projected Additive Approximations" | [Home Page] | [PDF]

• Marcela Zuluaga, Guillaume Sergent, Andreas Krause, Markus Püschel. "Active Learning for Multi-Objective Optimization" | [Home Page] | [PDF]

• Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux. "A Generalized Kernel Approach to Structured Output Learning" | [Home Page] | [PDF]

• Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz. "Efficient Active Learning of Halfspaces: an Aggressive Approach" | [Home Page] | [PDF]

• Braxton Osting, Christoph Brune, Stanley Osher. "Enhanced statistical rankings via targeted data collection" | [Home Page] | [PDF]

• Trung Nguyen, Zhuoru Li, Tomi Silander, Tze Yun Leong. "Online Feature Selection for Model-based Reinforcement Learning" | [Home Page] | [PDF]

• Paul Ruvolo, Eric Eaton. "ELLA: An Efficient Lifelong Learning Algorithm" | [Home Page] | [PDF]

• Harikrishna Narasimhan, Shivani Agarwal. "A Structural SVM Based Approach for Optimizing Partial AUC" | [Home Page] | [PDF]

• K. S. Sesh Kumar, Francis Bach. "Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs" | [Home Page] | [PDF]

• Chien-Ju Ho, Shahin Jabbari, Jennifer Wortman Vaughan. "Adaptive Task Assignment for Crowdsourced Classification" | [Home Page] | [PDF]

• Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko. "Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning" | [Home Page] | [PDF]

• Yoshua Bengio, Gregoire Mesnil, Yann Dauphin, Salah Rifai. "Better Mixing via Deep Representations" | [Home Page] | [PDF]

• Ke Zhai, Jordan Boyd-Graber. "Online Latent Dirichlet Allocation with Infinite Vocabulary" | [Home Page] | [PDF]

• Yaoliang Yu, Hao Cheng, Dale Schuurmans, Csaba Szepesvari. "Characterizing the Representer Theorem" | [Home Page] | [PDF]

• Eric Hall, Rebecca Willett. "Dynamical Models and tracking regret in online convex programming" | [Home Page] | [PDF]

• Jacob Abernethy, Kareem Amin, Michael Kearns, Moez Draief. "Large-Scale Bandit Problems and KWIK Learning" | [Home Page] | [PDF]

• Roi Livni, David Lehavi, Sagi Schein, Hila Nachliely, Shai Shalev-Shwartz, Amir Globerson. "Vanishing Component Analysis" | [Home Page] | [PDF]

• Matthew Golub, Steven Chase, Byron Yu. "Learning an Internal Dynamics Model from Control Demonstration" | [Home Page] | [PDF]

• Daryl Lim, Gert Lanckriet, Brian McFee. "Robust Structural Metric Learning" | [Home Page] | [PDF]

• Thomas Bühler, Shyam Sundar Rangapuram, Simon Setzer, Matthias Hein. "Constrained fractional set programs and their application in local clustering and community detection" | [Home Page] | [PDF]

• Nina Balcan, Christopher Berlind, Steven Ehrlich, Yingyu Liang. "Efficient Semi-supervised and Active Learning of Disjunctions" | [Home Page] | [PDF]

• MohamadAli Torkamani, Daniel Lowd. "Convex Adversarial Collective Classification" | [Home Page] | [PDF]

• Yann Chevaleyre, Frédéerick Koriche, Jean-daniel Zucker. "Rounding Methods for Discrete Linear Classification" | [Home Page] | [PDF]

• Shuang-Hong Yang, Hongyuan Zha. "Mixture of Mutually Exciting Processes for Viral Diffusion" | [Home Page] | [PDF]

• David Lopez-Paz, Jose Miguel Hernández-Lobato, Ghahramani Zoubin. "Gaussian Process Vine Copulas for Multivariate Dependence" | [Home Page] | [PDF]

• Michal Valko, Alexandra Carpentier, Rémi Munos. "Stochastic Simultaneous Optimistic Optimization" | [Home Page] | [PDF]

• Alexandra Carpentier, Rémi Munos. "Toward Optimal Stratification for Stratified Monte-Carlo Integration" | [Home Page] | [PDF]

• Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye. "A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems" | [Home Page] | [PDF]

• Truyen Tran, Dinh Phung, Svetha Venkatesh. "Thurstonian Boltzmann Machines: Learning from Multiple Inequalities" | [Home Page] | [PDF]

• Do-kyum Kim, Geoffrey Voelker, Lawrence Saul. "A Variational Approximation for Topic Modeling of Hierarchical Corpora" | [Home Page] | [PDF]

• Georg Goerg. "Forecastable Component Analysis" | [Home Page] | [PDF]

• Gabriel Krummenacher, Cheng Soon Ong, Joachim Buhmann. "Ellipsoidal Multiple Instance Learning" | [Home Page] | [PDF]

• Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer. "Local Low-Rank Matrix Approximation" | [Home Page] | [PDF]

• Tanguy Urvoy, Fabrice Clerot, Raphael Féraud, Sami Naamane. "Generic Exploration and K-armed Voting Bandits" | [Home Page] | [PDF]

• Minh Hà Quang, Loris Bazzani, Vittorio Murino. "A unifying framework for vector-valued manifold regularization and multi-view learning" | [Home Page] | [PDF]

• Gartheeban Ganeshapillai, John Guttag, Andrew Lo. "Learning Connections in Financial Time Series" | [Home Page] | [PDF]

• Sida Wang, Christopher Manning. "Fast dropout training" | [Home Page] | [PDF]

• Zhirong Yang, Jaakko Peltonen, Samuel Kaski. "Scalable Optimization of Neighbor Embedding for Visualization" | [Home Page] | [PDF]

• Blaise Hanczar, Mohamed Nadif. "Precision-recall space to correct external indices for biclustering" | [Home Page] | [PDF]

• Sharon Wulff, Ruth Urner, Shai Ben-David. "Monochromatic Bi-Clustering" | [Home Page] | [PDF]

• Droniou Alain, Sigaud Olivier. "Gated Autoencoders with Tied Input Weights" | [Home Page] | [PDF]

• Nicola Rebagliati. "Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings" | [Home Page] | [PDF]

• Fang Han, Han Liu. "Transition Matrix Estimation in High Dimensional Time Series" | [Home Page] | [PDF]

• Jason Weston, Ameesh Makadia, Hector Yee. "Label Partitioning For Sublinear Ranking" | [Home Page] | [PDF]

• Huayan Wang, Koller Daphne. "Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing" | [Home Page] | [PDF]

• Rémi Bardenet, Mátyás Brendel, Balázs Kégl, Michèle Sebag. "Collaborative hyperparameter tuning" | [Home Page] | [PDF]

• Ruichu Cai, Zhenjie Zhang, Zhifeng Hao. "SADA: A General Framework to Support Robust Causation Discovery" | [Home Page] | [PDF]

• Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, Honglak Lee. "Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines" | [Home Page] | [PDF]

• Zheng Wen, Branislav Kveton, Brian Eriksson, Sandilya Bhamidipati. "Sequential Bayesian Search" | [Home Page] | [PDF]

• Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch. "Sparse projections onto the simplex" | [Home Page] | [PDF]

• Uri Shalit, Daphna Weinshall, Gal Chechik. "Modeling Musical Influence with Topic Models" | [Home Page] | [PDF]

• Mrinal Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, Gopinath Kanchi. "Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically" | [Home Page] | [PDF]

• Esther Salazar, Ryan Bogdan, Adam Gorka, Ahmad Hariri, Lawrence Carin. "Exploring the Mind: Integrating Questionnaires and fMRI" | [Home Page] | [PDF]

• Quoc Tran Dinh, Anastasios Kyrillidis, Volkan Cevher. "A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions" | [Home Page] | [PDF]

• Sanjeev Arora, Rong Ge, Yonatan Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu, Michael Zhu. "A Practical Algorithm for Topic Modeling with Provable Guarantees" | [Home Page] | [PDF]

• Siddharth Gopal, Yiming Yang. "Distributed training of Large-scale Logistic models" | [Home Page] | [PDF]

• Rajesh Ranganath, Chong Wang, Blei David, Eric Xing. "An Adaptive Learning Rate for Stochastic Variational Inference" | [Home Page] | [PDF]

• Matus Telgarsky. "Margins, Shrinkage, and Boosting" | [Home Page] | [PDF]

• Billy Chang, Uwe Kruger, Rafal Kustra, Junping Zhang. "Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment" | [Home Page] | [PDF]

• Daniel Golovin, D. Sculley, Brendan McMahan, Michael Young. "Large-Scale Learning with Less RAM via Randomization" | [Home Page] | [PDF]

• Stefano Ermon, Carla Gomes, Ashish Sabharwal, Bart Selman. "Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization" | [Home Page] | [PDF]

• Andreas Maurer, Massi Pontil, Bernardino Romera-Paredes. "Sparse coding for multitask and transfer learning" | [Home Page] | [PDF]

• Ka Yu Hui. "Direct Modeling of Complex Invariances for Visual Object Features" | [Home Page] | [PDF]

• Jan-Willem Meent, Jonathan Bronson, Frank Wood, Ruben Gonzalez Jr., Chris Wiggins. "Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data" | [Home Page] | [PDF]

• Liu Yang, Steve Hanneke. "Activized Learning with Uniform Classification Noise" | [Home Page] | [PDF]

• Sergey Levine, Vladlen Koltun. "Guided Policy Search" | [Home Page] | [PDF]

• Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya, Masashi Sugiyama. "Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning" | [Home Page] | [PDF]

• Balazs Szorenyi, Robert Busa-Fekete, Istvan Hegedus, Robert Ormandi, Mark Jelasity, Balazs Kegl. "Gossip-based distributed stochastic bandit algorithms" | [Home Page] | [PDF]

• Tor Lattimore, Marcus Hutter, Peter Sunehag. "The Sample-Complexity of General Reinforcement Learning" | [Home Page] | [PDF]

• Alon Zweig, Daphna Weinshall. "Hierarchical Regularization Cascade for Joint Learning" | [Home Page] | [PDF]

• Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh. "Multi-Class Classification with Maximum Margin Multiple Kernel" | [Home Page] | [PDF]

• Michael Großhans, Christoph Sawade, Michael Brückner, Tobias Scheffer. "Bayesian Games for Adversarial Regression Problems" | [Home Page] | [PDF]

• Xi Chen, Qihang Lin, Dengyong Zhou. "Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing" | [Home Page] | [PDF]

• Mladen Kolar, Han Liu, Eric Xing. "Markov Network Estimation From Multi-attribute Data" | [Home Page] | [PDF]

• Dan Zhang, Jingrui He, Luo Si, Richard Lawrence. "MILEAGE: Multiple Instance LEArning with Global Embedding" | [Home Page] | [PDF]

• Ji Liu, Lei Yuan, Jieping Ye. "Guaranteed Sparse Recovery under Linear Transformation" | [Home Page] | [PDF]

• Roland Memisevic, Georgios Exarchakis. "Learning invariant features by harnessing the aperture problem" | [Home Page] | [PDF]

• Fabian Wauthier, Michael Jordan, Nebojsa Jojic. "Efficient Ranking from Pairwise Comparisons" | [Home Page] | [PDF]

• Prateek Jain, Abhradeep Thakurta. "Differentially Private Learning with Kernels" | [Home Page] | [PDF]

• Shipra Agrawal, Navin Goyal. "Thompson Sampling for Contextual Bandits with Linear Payoffs" | [Home Page] | [PDF]

• Javier Almingol, Lui Montesano, Manuel Lopes. "Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space" | [Home Page] | [PDF]

• Rustem Takhanov, Vladimir Kolmogorov. "Inference algorithms for pattern-based CRFs on sequence data" | [Home Page] | [PDF]

• Sivakant Gopi, Praneeth Netrapalli, Prateek Jain, Aditya Nori. "One-Bit Compressed Sensing: Provable Support and Vector Recovery" | [Home Page] | [PDF]

• Yichuan Tang, Ruslan Salakhutdinov, Geoffrey Hinton. "Tensor Analyzers" | [Home Page] | [PDF]

• Toby Hocking, Guillem Rigaill, Jean-Philippe Vert, Francis Bach. "Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression" | [Home Page] | [PDF]

• Kwang-Sung Jun, Jerry Zhu, Burr Settles, Timothy Rogers. "Learning from Human-Generated Lists" | [Home Page] | [PDF]

• Huayan Wang, Koller Daphne. "A Fast and Exact Energy Minimization Algorithm for Cycle MRFs" | [Home Page] | [PDF]

• Daniel Tarlow, Kevin Swersky, Laurent Charlin, Ilya Sutskever, Rich Zemel. "Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning" | [Home Page] | [PDF]

• Nicholas Bryan, Gautham Mysore. "An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation" | [Home Page] | [PDF]

• Miles Lopes. "Estimating Unknown Sparsity in Compressed Sensing" | [Home Page] | [PDF]

• Tamara Broderick, Brian Kulis, Michael Jordan. "MAD-Bayes: MAP-based Asymptotic Derivations from Bayes" | [Home Page] | [PDF]

• Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf. "The Most Generative Maximum Margin Bayesian Networks" | [Home Page] | [PDF]

• Quoc Le, Tamas Sarlos, Alexander Smola. "Fastfood - Computing Hilbert Space Expansions in loglinear time" | [Home Page] | [PDF]

• Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye. "Joint Transfer and Batch-mode Active Learning" | [Home Page] | [PDF]

• Yuan Qi, Yandong Guo. "Message passing with l1 penalized KL minimization" | [Home Page] | [PDF]

• Marco Cuturi, Alexandre D’Aspremont. "Mean Reversion with a Variance Threshold" | [Home Page] | [PDF]

• Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh. "Top-down particle filtering for Bayesian decision trees" | [Home Page] | [PDF]

• Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon. "Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations" | [Home Page] | [PDF]

• Hua Wang, Feiping Nie, Heng Huang. "Robust and Discriminative Self-Taught Learning" | [Home Page] | [PDF]

• Matteo Pirotta, Marcello Restelli, Alessio Pecorino, Daniele Calandriello. "Safe Policy Iteration" | [Home Page] | [PDF]

• Mariya Ishteva, Haesun Park, Le Song. "Unfolding Latent Tree Structures using 4th Order Tensors" | [Home Page] | [PDF]

• Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, Cynthia Dwork. "Learning Fair Representations" | [Home Page] | [PDF]

• Le Song, Mariya Ishteva, Ankur Parikh, Eric Xing, Haesun Park. "Hierarchical Tensor Decomposition of Latent Tree Graphical Models" | [Home Page] | [PDF]

• Tom Schaul, Sixin Zhang, Yann LeCun. "No more pesky learning rates" | [Home Page] | [PDF]

• Hua Wang, Feiping Nie, Heng Huang. "Multi-View Clustering and Feature Learning via Structured Sparsity" | [Home Page] | [PDF]

• Harm Van Seijen, Rich Sutton. "Planning by Prioritized Sweeping with Small Backups" | [Home Page] | [PDF]

• Sebastian Brechtel, Tobias Gindele, Rüdiger Dillmann. "Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation" | [Home Page] | [PDF]

• Arnak Dalalyan, Mohamed Hebiri, Katia Meziani, Joseph Salmon. "Learning Heteroscedastic Models by Convex Programming under Group Sparsity" | [Home Page] | [PDF]

• Kai Zhang, Vincent Zheng, Qiaojun Wang, James Kwok, Qiang Yang, Ivan Marsic. "Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels" | [Home Page] | [PDF]

• Zeyuan Allen Zhu, Silvio Lattanzi, Vahab Mirrokni. "A Local Algorithm for Finding Well-Connected Clusters" | [Home Page] | [PDF]

• Wei Bi, James Kwok. "Efficient Multi-label Classification with Many Labels" | [Home Page] | [PDF]

• Yuxin Chen, Yuejie Chi. "Spectral Compressed Sensing via Structured Matrix Completion" | [Home Page] | [PDF]

• Ming Yang, Yingming Li, Zhongfei Zhang. "Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model" | [Home Page] | [PDF]

• Kyunghyun Cho. "Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images" | [Home Page] | [PDF]

• Purushottam Kar, Bharath Sriperumbudur, Prateek Jain, Harish Karnick. "On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions" | [Home Page] | [PDF]

• Mahsa Baktashmotlagh, Mehrtash Harandi, Abbas Bigdeli, Brian Lovell, Mathieu Salzmann. "Non-Linear Stationary Subspace Analysis with Application to Video Classification" | [Home Page] | [PDF]

• Jean Honorio, Jaakkola Tommi. "Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy" | [Home Page] | [PDF]

• Emanuele Coviello, Adeel Mumtaz, Antoni Chan, Gert Lanckriet. "That was fast! Speeding up NN search of high dimensional distributions." | [Home Page] | [PDF]

• Max Vladymyrov, Miguel Carreira-Perpinan. "Entropic Affinities: Properties and Efficient Numerical Computation" | [Home Page] | [PDF]

• Cijo Jose, Prasoon Goyal, Parv Aggrwal, Manik Varma. "Local Deep Kernel Learning for Efficient Non-linear SVM Prediction" | [Home Page] | [PDF]

• Aviv Tamar, Dotan Di Castro, Shie Mannor. "Temporal Difference Methods for the Variance of the Reward To Go" | [Home Page] | [PDF]

• Felix Yu, Dong Liu, Sanjiv Kumar, Jebara Tony, Shih-Fu Chang. "\proptoSVM for Learning with Label Proportions" | [Home Page] | [PDF]

• Philipp Kraehenbuehl, Vladlen Koltun. "Parameter Learning and Convergent Inference for Dense Random Fields" | [Home Page] | [PDF]

• Paul Mineiro, Nikos Karampatziakis. "Loss-Proportional Subsampling for Subsequent ERM" | [Home Page] | [PDF]

• Xiangrui Meng. "Scalable Simple Random Sampling and Stratified Sampling" | [Home Page] | [PDF]

• Li Cheng. "Riemannian Similarity Learning" | [Home Page] | [PDF]

• Yangqing Jia, Oriol Vinyals, Trevor Darrell. "On Compact Codes for Spatially Pooled Features" | [Home Page] | [PDF]

• Yue Wu, Jose Miguel Hernandez-Lobato, Ghahramani Zoubin. "Dynamic Covariance Models for Multivariate Financial Time Series" | [Home Page] | [PDF]

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