nips2013.md

NeurIPS2013

• Srini Turaga, Lars Buesing, Adam M. Packer, Henry Dalgleish, Noah Pettit, Michael Hausser, Jakob H. Macke. "Inferring neural population dynamics from multiple partial recordings of the same neural circuit" | [Home Page] | [PDF]

• Andreas Ruttor, Philipp Batz, Manfred Opper. "Approximate Gaussian process inference for the drift function in stochastic differential equations" | [Home Page] | [PDF]

• Matthew Lawlor, Steven W. Zucker. "Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections" | [Home Page] | [PDF]

• Elias Bareinboim, Sanghack Lee, Vasant Honavar, Judea Pearl. "Transportability from Multiple Environments with Limited Experiments" | [Home Page] | [PDF]

• Jason D. Lee, Yuekai Sun, Jonathan E. Taylor. "On model selection consistency of penalized M-estimators: a geometric theory" | [Home Page] | [PDF]

• Moustapha M. Cisse, Nicolas Usunier, Thierry Artières, Patrick Gallinari. "Robust Bloom Filters for Large MultiLabel Classification Tasks" | [Home Page] | [PDF]

• Harikrishna Narasimhan, Shivani Agarwal. "On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability Estimation" | [Home Page] | [PDF]

• Mohammad Gheshlaghi azar, Alessandro Lazaric, Emma Brunskill. "Sequential Transfer in Multi-armed Bandit with Finite Set of Models" | [Home Page] | [PDF]

• Jinwoo Shin, Andrew E. Gelfand, Misha Chertkov. "A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles" | [Home Page] | [PDF]

• Dino Sejdinovic, Arthur Gretton, Wicher Bergsma. "A Kernel Test for Three-Variable Interactions" | [Home Page] | [PDF]

• Shai Shalev-Shwartz, Tong Zhang. "Accelerated Mini-Batch Stochastic Dual Coordinate Ascent" | [Home Page] | [PDF]

• Junming Yin, Qirong Ho, Eric P. Xing. "A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks" | [Home Page] | [PDF]

• Ian Goodfellow, Mehdi Mirza, Aaron Courville, Yoshua Bengio. "Multi-Prediction Deep Boltzmann Machines" | [Home Page] | [PDF]

• Nathaniel J. Smith, Noah Goodman, Michael Frank. "Learning and using language via recursive pragmatic reasoning about other agents" | [Home Page] | [PDF]

• Shiau Hong Lim, Huan Xu, Shie Mannor. "Reinforcement Learning in Robust Markov Decision Processes" | [Home Page] | [PDF]

• Tai Qin, Karl Rohe. "Regularized Spectral Clustering under the Degree-Corrected Stochastic Blockmodel" | [Home Page] | [PDF]

• Min Xiao, Yuhong Guo. "A Novel Two-Step Method for Cross Language Representation Learning" | [Home Page] | [PDF]

• Karthika Mohan, Judea Pearl, Jin Tian. "Graphical Models for Inference with Missing Data" | [Home Page] | [PDF]

• Ryota Tomioka, Taiji Suzuki. "Convex Tensor Decomposition via Structured Schatten Norm Regularization" | [Home Page] | [PDF]

• Michalis Titsias RC AUEB, Miguel Lazaro-Gredilla. "Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression" | [Home Page] | [PDF]

• Dae Il Kim, Prem K. Gopalan, David Blei, Erik Sudderth. "Efficient Online Inference for Bayesian Nonparametric Relational Models" | [Home Page] | [PDF]

• Viliam Lisy, Vojta Kovarik, Marc Lanctot, Branislav Bosansky. "Convergence of Monte Carlo Tree Search in Simultaneous Move Games" | [Home Page] | [PDF]

• Nicolas Heess, Daniel Tarlow, John Winn. "Learning to Pass Expectation Propagation Messages" | [Home Page] | [PDF]

• Ben Shababo, Brooks Paige, Ari Pakman, Liam Paninski. "Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits" | [Home Page] | [PDF]

• Nataliya Shapovalova, Michalis Raptis, Leonid Sigal, Greg Mori. "Action is in the Eye of the Beholder: Eye-gaze Driven Model for Spatio-Temporal Action Localization" | [Home Page] | [PDF]

• Shaobo Han, Xuejun Liao, Lawrence Carin. "Integrated Non-Factorized Variational Inference" | [Home Page] | [PDF]

• Nicolò Cesa-Bianchi, Claudio Gentile, Giovanni Zappella. "A Gang of Bandits" | [Home Page] | [PDF]

• Xavier Bresson, Thomas Laurent, David Uminsky, James von Brecht. "Multiclass Total Variation Clustering" | [Home Page] | [PDF]

• Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma. "Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors" | [Home Page] | [PDF]

• Cho-Jui Hsieh, Matyas A. Sustik, Inderjit S. Dhillon, Pradeep K. Ravikumar, Russell Poldrack. "BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables" | [Home Page] | [PDF]

• Marcelo Fiori, Pablo Sprechmann, Joshua Vogelstein, Pablo Muse, Guillermo Sapiro. "Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching" | [Home Page] | [PDF]

• Matjaz Jogan, Alan A. Stocker. "Optimal integration of visual speed across different spatiotemporal frequency channels" | [Home Page] | [PDF]

• Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko. "Translating Embeddings for Modeling Multi-relational Data" | [Home Page] | [PDF]

• Tuan A. Nguyen, Subbarao Kambhampati, Minh Do. "Synthesizing Robust Plans under Incomplete Domain Models" | [Home Page] | [PDF]

• Ying Liu, Alan Willsky. "Learning Gaussian Graphical Models with Observed or Latent FVSs" | [Home Page] | [PDF]

• Marius Pachitariu, Adam M. Packer, Noah Pettit, Henry Dalgleish, Michael Hausser, Maneesh Sahani. "Extracting regions of interest from biological images with convolutional sparse block coding" | [Home Page] | [PDF]

• Michiel Hermans, Benjamin Schrauwen. "Training and Analysing Deep Recurrent Neural Networks" | [Home Page] | [PDF]

• Akshay Krishnamurthy, Aarti Singh. "Low-Rank Matrix and Tensor Completion via Adaptive Sampling" | [Home Page] | [PDF]

• Byungkon Kang. "Fast Determinantal Point Process Sampling with Application to Clustering" | [Home Page] | [PDF]

• Martin Slawski, Matthias Hein, Pavlo Lutsik. "Matrix factorization with binary components" | [Home Page] | [PDF]

• Boqing Gong, Kristen Grauman, Fei Sha. "Reshaping Visual Datasets for Domain Adaptation" | [Home Page] | [PDF]

• Christian Albers, Maren Westkott, Klaus Pawelzik. "Perfect Associative Learning with Spike-Timing-Dependent Plasticity" | [Home Page] | [PDF]

• Erich Kummerfeld, David Danks. "Tracking Time-varying Graphical Structure" | [Home Page] | [PDF]

• Praneeth Netrapalli, Prateek Jain, Sujay Sanghavi. "Phase Retrieval using Alternating Minimization" | [Home Page] | [PDF]

• Kewei Tu, Maria Pavlovskaia, Song-Chun Zhu. "Unsupervised Structure Learning of Stochastic And-Or Grammars" | [Home Page] | [PDF]

• Ferran Diego Andilla, Fred A. Hamprecht. "Learning Multi-level Sparse Representations" | [Home Page] | [PDF]

• John Duchi, Michael I. Jordan, Brendan McMahan. "Estimation, Optimization, and Parallelism when Data is Sparse" | [Home Page] | [PDF]

• Cosma Shalizi, Aryeh Kontorovich. "Predictive PAC Learning and Process Decompositions" | [Home Page] | [PDF]

• Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, Bo Zhang. "Scalable Inference for Logistic-Normal Topic Models" | [Home Page] | [PDF]

• Josh S. Merel, Roy Fox, Tony Jebara, Liam Paninski. "A multi-agent control framework for co-adaptation in brain-computer interfaces" | [Home Page] | [PDF]

• Eunho Yang, Pradeep K. Ravikumar, Genevera I. Allen, Zhandong Liu. "Conditional Random Fields via Univariate Exponential Families" | [Home Page] | [PDF]

• Samory Kpotufe, Vikas Garg. "Adaptivity to Local Smoothness and Dimension in Kernel Regression" | [Home Page] | [PDF]

• Navid Zolghadr, Gabor Bartok, Russell Greiner, András György, Csaba Szepesvari. "Online Learning with Costly Features and Labels" | [Home Page] | [PDF]

• Srikrishna Sridhar, Stephen Wright, Christopher Re, Ji Liu, Victor Bittorf, Ce Zhang. "An Approximate, Efficient LP Solver for LP Rounding" | [Home Page] | [PDF]

• Samory Kpotufe, Francesco Orabona. "Regression-tree Tuning in a Streaming Setting" | [Home Page] | [PDF]

• Mohsen Bayati, Murat A. Erdogdu, Andrea Montanari. "Estimating LASSO Risk and Noise Level" | [Home Page] | [PDF]

• Agnieszka Grabska-Barwinska, Jeff Beck, Alexandre Pouget, Peter Latham. "Demixing odors - fast inference in olfaction" | [Home Page] | [PDF]

• Richard Socher, Milind Ganjoo, Christopher D. Manning, Andrew Ng. "Zero-Shot Learning Through Cross-Modal Transfer" | [Home Page] | [PDF]

• Paul Wagner. "Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result" | [Home Page] | [PDF]

• Roger Frigola, Fredrik Lindsten, Thomas B. Schön, Carl Edward Rasmussen. "Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC" | [Home Page] | [PDF]

• Sam Patterson, Yee Whye Teh. "Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex" | [Home Page] | [PDF]

• Anima Anandkumar, Daniel J. Hsu, Majid Janzamin, Sham M. Kakade. "When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity" | [Home Page] | [PDF]

• Ping Li, Gennady Samorodnitsk, John Hopcroft. "Sign Cauchy Projections and Chi-Square Kernel" | [Home Page] | [PDF]

• Marcus Rohrbach, Sandra Ebert, Bernt Schiele. "Transfer Learning in a Transductive Setting" | [Home Page] | [PDF]

• Tetsuro Morimura, Takayuki Osogami, Tsuyoshi Ide. "Solving inverse problem of Markov chain with partial observations" | [Home Page] | [PDF]

• Raif Rustamov, Leonidas J. Guibas. "Wavelets on Graphs via Deep Learning" | [Home Page] | [PDF]

• Mehrdad Mahdavi, Tianbao Yang, Rong Jin. "Stochastic Convex Optimization with Multiple Objectives" | [Home Page] | [PDF]

• Charles Blundell, Yee Whye Teh. "Bayesian Hierarchical Community Discovery" | [Home Page] | [PDF]

• James Y. Zou, Daniel J. Hsu, David C. Parkes, Ryan P. Adams. "Contrastive Learning Using Spectral Methods" | [Home Page] | [PDF]

• Karen Simonyan, Andrea Vedaldi, Andrew Zisserman. "Deep Fisher Networks for Large-Scale Image Classification" | [Home Page] | [PDF]

• Lijun Zhang, Mehrdad Mahdavi, Rong Jin. "Linear Convergence with Condition Number Independent Access of Full Gradients" | [Home Page] | [PDF]

• Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep K. Ravikumar, Ambuj Tewari. "Learning with Noisy Labels" | [Home Page] | [PDF]

• Sergey Levine, Vladlen Koltun. "Variational Policy Search via Trajectory Optimization" | [Home Page] | [PDF]

• Stefan Wager, Sida Wang, Percy S. Liang. "Dropout Training as Adaptive Regularization" | [Home Page] | [PDF]

• Sebastien Bubeck, Che-Yu Liu. "Prior-free and prior-dependent regret bounds for Thompson Sampling" | [Home Page] | [PDF]

• Suvrit Sra, Reshad Hosseini. "Geometric optimisation on positive definite matrices for elliptically contoured distributions" | [Home Page] | [PDF]

• Abbas Edalat. "Capacity of strong attractor patterns to model behavioural and cognitive prototypes" | [Home Page] | [PDF]

• Masayuki Karasuyama, Hiroshi Mamitsuka. "Manifold-based Similarity Adaptation for Label Propagation" | [Home Page] | [PDF]

• Paramveer Dhillon, Yichao Lu, Dean P. Foster, Lyle Ungar. "New Subsampling Algorithms for Fast Least Squares Regression" | [Home Page] | [PDF]

• José Bento, Nate Derbinsky, Javier Alonso-Mora, Jonathan S. Yedidia. "A message-passing algorithm for multi-agent trajectory planning" | [Home Page] | [PDF]

• Deepti Pachauri, Risi Kondor, Vikas Singh. "Solving the multi-way matching problem by permutation synchronization" | [Home Page] | [PDF]

• Sivan Sabato, Anand D. Sarwate, Nati Srebro. "Auditing: Active Learning with Outcome-Dependent Query Costs" | [Home Page] | [PDF]

• Sinead A. Williamson, Steve N. MacEachern, Eric P. Xing. "Restricting exchangeable nonparametric distributions" | [Home Page] | [PDF]

• Ke Hou, Zirui Zhou, Anthony Man-Cho So, Zhi-Quan Luo. "On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization" | [Home Page] | [PDF]

• Daniel Russo, Benjamin Van Roy. "Eluder Dimension and the Sample Complexity of Optimistic Exploration" | [Home Page] | [PDF]

• Ziteng Wang, Kai Fan, Jiaqi Zhang, Liwei Wang. "Efficient Algorithm for Privately Releasing Smooth Queries" | [Home Page] | [PDF]

• Liu Yang, Jaime Carbonell. "Buy-in-Bulk Active Learning" | [Home Page] | [PDF]

• Eunho Yang, Pradeep K. Ravikumar, Genevera I. Allen, Zhandong Liu. "On Poisson Graphical Models" | [Home Page] | [PDF]

• Tamir Hazan, Subhransu Maji, Tommi Jaakkola. "On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations" | [Home Page] | [PDF]

• Kohei Hayashi, Ryohei Fujimaki. "Factorized Asymptotic Bayesian Inference for Latent Feature Models" | [Home Page] | [PDF]

• Martin Azizyan, Aarti Singh, Larry Wasserman. "Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation" | [Home Page] | [PDF]

• Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann. "Efficient Optimization for Sparse Gaussian Process Regression" | [Home Page] | [PDF]

• David Pfau, Eftychios A. Pnevmatikakis, Liam Paninski. "Robust learning of low-dimensional dynamics from large neural ensembles" | [Home Page] | [PDF]

• Jonas Peters, Dominik Janzing, Bernhard Schölkopf. "Causal Inference on Time Series using Restricted Structural Equation Models" | [Home Page] | [PDF]

• Yao-Liang Yu. "Better Approximation and Faster Algorithm Using the Proximal Average" | [Home Page] | [PDF]

• Le Song, Bo Dai. "Robust Low Rank Kernel Embeddings of Multivariate Distributions" | [Home Page] | [PDF]

• Dan Rosenbaum, Daniel Zoran, Yair Weiss. "Learning the Local Statistics of Optical Flow" | [Home Page] | [PDF]

• James R. Voss, Luis Rademacher, Mikhail Belkin. "Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis" | [Home Page] | [PDF]

• Julien Mairal. "Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization" | [Home Page] | [PDF]

• Yasin Abbasi Yadkori, Peter L. Bartlett, Varun Kanade, Yevgeny Seldin, Csaba Szepesvari. "Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions" | [Home Page] | [PDF]

• Bruno Scherrer. "Improved and Generalized Upper Bounds on the Complexity of Policy Iteration" | [Home Page] | [PDF]

• Raja Hafiz Affandi, Emily Fox, Ben Taskar. "Approximate Inference in Continuous Determinantal Processes" | [Home Page] | [PDF]

• Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C. Wilson, Michael I. Jordan. "Streaming Variational Bayes" | [Home Page] | [PDF]

• Brenden M. Lake, Russ R. Salakhutdinov, Josh Tenenbaum. "One-shot learning by inverting a compositional causal process" | [Home Page] | [PDF]

• Huahua Wang, Arindam Banerjee, Cho-Jui Hsieh, Pradeep K. Ravikumar, Inderjit S. Dhillon. "Large Scale Distributed Sparse Precision Estimation" | [Home Page] | [PDF]

• Ryan D. Turner, Steven Bottone, Clay J. Stanek. "Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking" | [Home Page] | [PDF]

• Benigno Uria, Iain Murray, Hugo Larochelle. "RNADE: The real-valued neural autoregressive density-estimator" | [Home Page] | [PDF]

• Paul Valiant, Gregory Valiant. "Estimating the Unseen: Improved Estimators for Entropy and other Properties" | [Home Page] | [PDF]

• Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How, Lawrence Carin. "Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture" | [Home Page] | [PDF]

• Ichiro Takeuchi, Tatsuya Hongo, Masashi Sugiyama, Shinichi Nakajima. "Parametric Task Learning" | [Home Page] | [PDF]

• Yoshua Bengio, Li Yao, Guillaume Alain, Pascal Vincent. "Generalized Denoising Auto-Encoders as Generative Models" | [Home Page] | [PDF]

• John Duchi, Martin J. Wainwright, Michael I. Jordan. "Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation" | [Home Page] | [PDF]

• Xiaoxiao Guo, Satinder Singh, Richard L. Lewis. "Reward Mapping for Transfer in Long-Lived Agents" | [Home Page] | [PDF]

• Eshcar Hillel, Zohar S. Karnin, Tomer Koren, Ronny Lempel, Oren Somekh. "Distributed Exploration in Multi-Armed Bandits" | [Home Page] | [PDF]

• Barbara Rakitsch, Christoph Lippert, Karsten Borgwardt, Oliver Stegle. "It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals" | [Home Page] | [PDF]

• Justin Domke, Xianghang Liu. "Projecting Ising Model Parameters for Fast Mixing" | [Home Page] | [PDF]

• Ryosuke Matsushita, Toshiyuki Tanaka. "Low-rank matrix reconstruction and clustering via approximate message passing" | [Home Page] | [PDF]

• Qichao Que, Mikhail Belkin. "Inverse Density as an Inverse Problem: the Fredholm Equation Approach" | [Home Page] | [PDF]

• Prem K. Gopalan, Chong Wang, David Blei. "Modeling Overlapping Communities with Node Popularities" | [Home Page] | [PDF]

• Stefanie Jegelka, Francis Bach, Suvrit Sra. "Reflection methods for user-friendly submodular optimization" | [Home Page] | [PDF]

• Hristo S. Paskov, Robert West, John C. Mitchell, Trevor Hastie. "Compressive Feature Learning" | [Home Page] | [PDF]

• Eftychios A. Pnevmatikakis, Liam Paninski. "Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions" | [Home Page] | [PDF]

• Adrien Todeschini, François Caron, Marie Chavent. "Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms" | [Home Page] | [PDF]

• Shinichi Nakajima, Akiko Takeda, S. Derin Babacan, Masashi Sugiyama, Ichiro Takeuchi. "Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering" | [Home Page] | [PDF]

• Leonidas Lefakis, François Fleuret. "Reservoir Boosting : Between Online and Offline Ensemble Learning" | [Home Page] | [PDF]

• Yichao Lu, Paramveer Dhillon, Dean P. Foster, Lyle Ungar. "Faster Ridge Regression via the Subsampled Randomized Hadamard Transform" | [Home Page] | [PDF]

• Fajwel Fogel, Rodolphe Jenatton, Francis Bach, Alexandre D'Aspremont. "Convex Relaxations for Permutation Problems" | [Home Page] | [PDF]

• Shahin Shahrampour, Sasha Rakhlin, Ali Jadbabaie. "Online Learning of Dynamic Parameters in Social Networks" | [Home Page] | [PDF]

• Yacine Jernite, Yonatan Halpern, David Sontag. "Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests" | [Home Page] | [PDF]

• José Miguel Hernández-Lobato, James R. Lloyd, Daniel Hernández-Lobato. "Gaussian Process Conditional Copulas with Applications to Financial Time Series" | [Home Page] | [PDF]

• Haichao Zhang, David Wipf. "Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty" | [Home Page] | [PDF]

• Alexander Zimin, Gergely Neu. "Online learning in episodic Markovian decision processes by relative entropy policy search" | [Home Page] | [PDF]

• Mijung Park, Jonathan W. Pillow. "Bayesian inference for low rank spatiotemporal neural receptive fields" | [Home Page] | [PDF]

• Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda, Christoph Schnörr. "Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation" | [Home Page] | [PDF]

• Franz Kiraly, Louis Theran. "Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion" | [Home Page] | [PDF]

• Jamie Shotton, Toby Sharp, Pushmeet Kohli, Sebastian Nowozin, John Winn, Antonio Criminisi. "Decision Jungles: Compact and Rich Models for Classification" | [Home Page] | [PDF]

• Jie Liu, David Page. "Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models" | [Home Page] | [PDF]

• Ian Osband, Daniel Russo, Benjamin Van Roy. "(More) Efficient Reinforcement Learning via Posterior Sampling" | [Home Page] | [PDF]

• Shunan Zhang, Angela J. Yu. "Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting" | [Home Page] | [PDF]

• Raman Arora, Andy Cotter, Nati Srebro. "Stochastic Optimization of PCA with Capped MSG" | [Home Page] | [PDF]

• Stefano Ermon, Carla P. Gomes, Ashish Sabharwal, Bart Selman. "Embed and Project: Discrete Sampling with Universal Hashing" | [Home Page] | [PDF]

• Zhuo Wang, Alan A. Stocker, Daniel D. Lee. "Optimal Neural Population Codes for High-dimensional Stimulus Variables" | [Home Page] | [PDF]

• Dimitris Achlioptas, Zohar S. Karnin, Edo Liberty. "Near-Optimal Entrywise Sampling for Data Matrices" | [Home Page] | [PDF]

• Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jordan. "A Comparative Framework for Preconditioned Lasso Algorithms" | [Home Page] | [PDF]

• Il Memming Park, Evan W. Archer, Kenneth Latimer, Jonathan W. Pillow. "Universal models for binary spike patterns using centered Dirichlet processes" | [Home Page] | [PDF]

• Zhenwen Dai, Georgios Exarchakis, Jörg Lücke. "What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach" | [Home Page] | [PDF]

• Cristina Savin, Peter Dayan, Mate Lengyel. "Correlations strike back (again): the case of associative memory retrieval" | [Home Page] | [PDF]

• Pierre Baldi, Peter J. Sadowski. "Understanding Dropout" | [Home Page] | [PDF]

• Pablo Sprechmann, Roee Litman, Tal Ben Yakar, Alexander M. Bronstein, Guillermo Sapiro. "Supervised Sparse Analysis and Synthesis Operators" | [Home Page] | [PDF]

• Wouter M. Koolen. "The Pareto Regret Frontier" | [Home Page] | [PDF]

• Victor Gabillon, Mohammad Ghavamzadeh, Bruno Scherrer. "Approximate Dynamic Programming Finally Performs Well in the Game of Tetris" | [Home Page] | [PDF]

• Daniel Hernández-Lobato, José Miguel Hernández-Lobato. "Learning Feature Selection Dependencies in Multi-task Learning" | [Home Page] | [PDF]

• Francesco Orabona. "Dimension-Free Exponentiated Gradient" | [Home Page] | [PDF]

• Ioannis Mitliagkas, Constantine Caramanis, Prateek Jain. "Memory Limited, Streaming PCA" | [Home Page] | [PDF]

• Yifei Ma, Roman Garnett, Jeff Schneider. "Σ-Optimality for Active Learning on Gaussian Random Fields" | [Home Page] | [PDF]

• Marius Pachitariu, Biljana Petreska, Maneesh Sahani. "Recurrent linear models of simultaneously-recorded neural populations" | [Home Page] | [PDF]

• Guy Van den Broeck, Adnan Darwiche. "On the Complexity and Approximation of Binary Evidence in Lifted Inference" | [Home Page] | [PDF]

• Crystal Maung, Haim Schweitzer. "Pass-efficient unsupervised feature selection" | [Home Page] | [PDF]

• Jimmy Ba, Brendan Frey. "Adaptive dropout for training deep neural networks" | [Home Page] | [PDF]

• James Martens, Arkadev Chattopadhya, Toni Pitassi, Richard Zemel. "On the Representational Efficiency of Restricted Boltzmann Machines" | [Home Page] | [PDF]

• Wojciech Samek, Duncan Blythe, Klaus-Robert Müller, Motoaki Kawanabe. "Robust Spatial Filtering with Beta Divergence" | [Home Page] | [PDF]

• Andrea Frome, Greg S. Corrado, Jon Shlens, Samy Bengio, Jeff Dean, Marc'Aurelio Ranzato, Tomas Mikolov. "DeViSE: A Deep Visual-Semantic Embedding Model" | [Home Page] | [PDF]

• Aswin Raghavan, Roni Khardon, Alan Fern, Prasad Tadepalli. "Symbolic Opportunistic Policy Iteration for Factored-Action MDPs" | [Home Page] | [PDF]

• Fabian Sinz, Anna Stockl, Jan Grewe, Jan Benda. "Least Informative Dimensions" | [Home Page] | [PDF]

• Subhaneil Lahiri, Surya Ganguli. "A memory frontier for complex synapses" | [Home Page] | [PDF]

• Martin Mevissen, Emanuele Ragnoli, Jia Yuan Yu. "Data-driven Distributionally Robust Polynomial Optimization" | [Home Page] | [PDF]

• Andreas Stuhlmüller, Jacob Taylor, Noah Goodman. "Learning Stochastic Inverses" | [Home Page] | [PDF]

• Yann Dauphin, Yoshua Bengio. "Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs" | [Home Page] | [PDF]

• Maria-Florina F. Balcan, Steven Ehrlich, Yingyu Liang. "Distributed $k$-means and $k$-median Clustering on General Topologies" | [Home Page] | [PDF]

• Francis Bach, Eric Moulines. "Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)" | [Home Page] | [PDF]

• Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas. "Predicting Parameters in Deep Learning" | [Home Page] | [PDF]

• Min Xu, Tao Qin, Tie-Yan Liu. "Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising" | [Home Page] | [PDF]

• Tamir Hazan, Subhransu Maji, Joseph Keshet, Tommi Jaakkola. "Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions" | [Home Page] | [PDF]

• Assaf Glazer, Michael Lindenbaum, Shaul Markovitch. "q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions" | [Home Page] | [PDF]

• Vincent Q. Vu, Juhee Cho, Jing Lei, Karl Rohe. "Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA" | [Home Page] | [PDF]

• Mohammad Amin Sadeghi, David Forsyth. "Fast Template Evaluation with Vector Quantization" | [Home Page] | [PDF]

• Lei Shi. "Sparse Additive Text Models with Low Rank Background" | [Home Page] | [PDF]

• Brian McWilliams, David Balduzzi, Joachim M. Buhmann. "Correlated random features for fast semi-supervised learning" | [Home Page] | [PDF]

• Qiang Cheng, Qiang Liu, Feng Chen, Alexander T. Ihler. "Variational Planning for Graph-based MDPs" | [Home Page] | [PDF]

• Krzysztof M. Choromanski, Tony Jebara, Kui Tang. "Adaptive Anonymity via $b$-Matching" | [Home Page] | [PDF]

• Maria-Florina F. Balcan, Vitaly Feldman. "Statistical Active Learning Algorithms" | [Home Page] | [PDF]

• Behnam Neyshabur, Nati Srebro, Russ R. Salakhutdinov, Yury Makarychev, Payman Yadollahpour. "The Power of Asymmetry in Binary Hashing" | [Home Page] | [PDF]

• Aijun Bai, Feng Wu, Xiaoping Chen. "Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search" | [Home Page] | [PDF]

• Baharan Mirzasoleiman, Amin Karbasi, Rik Sarkar, Andreas Krause. "Distributed Submodular Maximization: Identifying Representative Elements in Massive Data" | [Home Page] | [PDF]

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