nips2009.md

NeurIPS2009

• Marc Lanctot, Kevin Waugh, Martin Zinkevich, Michael Bowling. "Monte Carlo Sampling for Regret Minimization in Extensive Games" | [Home Page] | [PDF]

• Peilin Zhao, Steven Hoi, Rong Jin. "DUOL: A Double Updating Approach for Online Learning" | [Home Page] | [PDF]

• Odalric Maillard, Rémi Munos. "Compressed Least-Squares Regression" | [Home Page] | [PDF]

• Marco Cuturi, Jean-philippe Vert, Alexandre D'aspremont. "White Functionals for Anomaly Detection in Dynamical Systems" | [Home Page] | [PDF]

• Joseph Schlecht, Kobus Barnard. "Learning models of object structure" | [Home Page] | [PDF]

• Philipp Berens, Sebastian Gerwinn, Alexander Ecker, Matthias Bethge. "Neurometric function analysis of population codes" | [Home Page] | [PDF]

• Yoshua Bengio, James Bergstra. "Slow, Decorrelated Features for Pretraining Complex Cell-like Networks" | [Home Page] | [PDF]

• Henning Sprekeler, Guillaume Hennequin, Wulfram Gerstner. "Code-specific policy gradient rules for spiking neurons" | [Home Page] | [PDF]

• Chunhua Shen, Junae Kim, Lei Wang, Anton Hengel. "Positive Semidefinite Metric Learning with Boosting" | [Home Page] | [PDF]

• Vinayak Rao, Yee Teh. "Spatial Normalized Gamma Processes" | [Home Page] | [PDF]

• Amarnag Subramanya, Jeff A. Bilmes. "Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification" | [Home Page] | [PDF]

• Stefan Klampfl, Wolfgang Maass. "Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks" | [Home Page] | [PDF]

• Alessandro Perina, Marco Cristani, Umberto Castellani, Vittorio Murino, Nebojsa Jojic. "Free energy score space" | [Home Page] | [PDF]

• Piyush Rai, Hal Daume. "Multi-Label Prediction via Sparse Infinite CCA" | [Home Page] | [PDF]

• Nino Shervashidze, Karsten Borgwardt. "Fast subtree kernels on graphs" | [Home Page] | [PDF]

• Yi-hao Kao, Benjamin Roy, Xiang Yan. "Directed Regression" | [Home Page] | [PDF]

• Han Liu, Xi Chen. "Nonparametric Greedy Algorithms for the Sparse Learning Problem" | [Home Page] | [PDF]

• Hanna Wallach, David Mimno, Andrew McCallum. "Rethinking LDA: Why Priors Matter" | [Home Page] | [PDF]

• Andreas Bartels, Matthew Blaschko, Jacquelyn Shelton. "Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity" | [Home Page] | [PDF]

• Anne Hsu, Thomas Griffiths. "Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning" | [Home Page] | [PDF]

• Marco Grzegorczyk, Dirk Husmeier. "Non-stationary continuous dynamic Bayesian networks" | [Home Page] | [PDF]

• Shuai Huang, Jing Li, Liang Sun, Jun Liu, Teresa Wu, Kewei Chen, Adam Fleisher, Eric Reiman, Jieping Ye. "Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data" | [Home Page] | [PDF]

• Varun Kanade, Adam Kalai. "Potential-Based Agnostic Boosting" | [Home Page] | [PDF]

• Jarno Vanhatalo, Pasi Jylänki, Aki Vehtari. "Gaussian process regression with Student-t likelihood" | [Home Page] | [PDF]

• Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes. "Bilinear classifiers for visual recognition" | [Home Page] | [PDF]

• Mark Palatucci, Dean Pomerleau, Geoffrey E. Hinton, Tom M. Mitchell. "Zero-shot Learning with Semantic Output Codes" | [Home Page] | [PDF]

• Natasha Singh-miller, Michael Collins. "Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition" | [Home Page] | [PDF]

• Rob Fergus, Yair Weiss, Antonio Torralba. "Semi-Supervised Learning in Gigantic Image Collections" | [Home Page] | [PDF]

• Pierre-arnaud Coquelin, Romain Deguest, Rémi Munos. "Sensitivity analysis in HMMs with application to likelihood maximization" | [Home Page] | [PDF]

• Jie Luo, Barbara Caputo, Vittorio Ferrari. "Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation" | [Home Page] | [PDF]

• Benjamin Durme, Ashwin Lall. "Streaming Pointwise Mutual Information" | [Home Page] | [PDF]

• Cosmin Bejan, Matthew Titsworth, Andrew Hickl, Sanda Harabagiu. "Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution" | [Home Page] | [PDF]

• Peter Carbonetto, Matthew King, Firas Hamze. "A Stochastic approximation method for inference in probabilistic graphical models" | [Home Page] | [PDF]

• Ye Chen, Michael Kapralov, John Canny, Dmitry Pavlov. "Factor Modeling for Advertisement Targeting" | [Home Page] | [PDF]

• David Wipf, Srikantan Nagarajan. "Sparse Estimation Using General Likelihoods and Non-Factorial Priors" | [Home Page] | [PDF]

• Hongjing Lu, Matthew Weiden, Alan L. Yuille. "Modeling the spacing effect in sequential category learning" | [Home Page] | [PDF]

• Douglas Eck, Yoshua Bengio, Aaron C. Courville. "An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism" | [Home Page] | [PDF]

• Finale Doshi-velez, Shakir Mohamed, Zoubin Ghahramani, David Knowles. "Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process" | [Home Page] | [PDF]

• Raghu Meka, Prateek Jain, Inderjit Dhillon. "Matrix Completion from Power-Law Distributed Samples" | [Home Page] | [PDF]

• Kate Saenko, Trevor Darrell. "Filtering Abstract Senses From Image Search Results" | [Home Page] | [PDF]

• Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja. "Heavy-Tailed Symmetric Stochastic Neighbor Embedding" | [Home Page] | [PDF]

• Andrea Montanari, Jose Pereira. "Which graphical models are difficult to learn?" | [Home Page] | [PDF]

• Alekh Agarwal, Martin J. Wainwright, Peter Bartlett, Pradeep Ravikumar. "Information-theoretic lower bounds on the oracle complexity of convex optimization" | [Home Page] | [PDF]

• Parikshit Ram, Dongryeol Lee, William March, Alexander Gray. "Linear-time Algorithms for Pairwise Statistical Problems" | [Home Page] | [PDF]

• Pascal Germain, Alexandre Lacasse, Mario Marchand, Sara Shanian, François Laviolette. "From PAC-Bayes Bounds to KL Regularization" | [Home Page] | [PDF]

• Elad Hazan, Satyen Kale. "On Stochastic and Worst-case Models for Investing" | [Home Page] | [PDF]

• Andrea Vedaldi, Andrew Zisserman. "Structured output regression for detection with partial truncation" | [Home Page] | [PDF]

• Jake Bouvrie, Lorenzo Rosasco, Tomaso Poggio. "On Invariance in Hierarchical Models" | [Home Page] | [PDF]

• Arkadas Ozakin, Alexander Gray. "Submanifold density estimation" | [Home Page] | [PDF]

• Kai Yu, Tong Zhang, Yihong Gong. "Nonlinear Learning using Local Coordinate Coding" | [Home Page] | [PDF]

• Pietro Berkes, Ben White, Jozsef Fiser. "No evidence for active sparsification in the visual cortex" | [Home Page] | [PDF]

• Novi Quadrianto, James Petterson, Alex Smola. "Distribution Matching for Transduction" | [Home Page] | [PDF]

• Feng Zhou, Fernando Torre. "Canonical Time Warping for Alignment of Human Behavior" | [Home Page] | [PDF]

• Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu. "A Parameter-free Hedging Algorithm" | [Home Page] | [PDF]

• Lei Wu, Rong Jin, Steven Hoi, Jianke Zhu, Nenghai Yu. "Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering" | [Home Page] | [PDF]

• Wei Chen, Tie-yan Liu, Yanyan Lan, Zhi-ming Ma, Hang Li. "Ranking Measures and Loss Functions in Learning to Rank" | [Home Page] | [PDF]

• Roy Anati, Kostas Daniilidis. "Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection" | [Home Page] | [PDF]

• Geoffrey E. Hinton, Russ R. Salakhutdinov. "Replicated Softmax: an Undirected Topic Model" | [Home Page] | [PDF]

• Samory Kpotufe. "Fast, smooth and adaptive regression in metric spaces" | [Home Page] | [PDF]

• Alan Jern, Kai-min Chang, Charles Kemp. "Bayesian Belief Polarization" | [Home Page] | [PDF]

• Mikkel Schmidt. "Linearly constrained Bayesian matrix factorization for blind source separation" | [Home Page] | [PDF]

• Jean Honorio, Dimitris Samaras, Nikos Paragios, Rita Goldstein, Luis E. Ortiz. "Sparse and Locally Constant Gaussian Graphical Models" | [Home Page] | [PDF]

• Yiming Ying, Kaizhu Huang, Colin Campbell. "Sparse Metric Learning via Smooth Optimization" | [Home Page] | [PDF]

• Daniel Zoran, Yair Weiss. "The 'tree-dependent components' of natural scenes are edge filters" | [Home Page] | [PDF]

• Joel Veness, David Silver, Alan Blair, William Uther. "Bootstrapping from Game Tree Search" | [Home Page] | [PDF]

• Charles Kemp, Alan Jern, Fei Xu. "Individuation, Identification and Object Discovery" | [Home Page] | [PDF]

• Tomoharu Iwata, Takeshi Yamada, Naonori Ueda. "Modeling Social Annotation Data with Content Relevance using a Topic Model" | [Home Page] | [PDF]

• Shalabh Bhatnagar, Doina Precup, David Silver, Richard S. Sutton, Hamid Maei, Csaba Szepesvári. "Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation" | [Home Page] | [PDF]

• Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow. "Group Sparse Coding" | [Home Page] | [PDF]

• Chong Wang, David Blei. "Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process" | [Home Page] | [PDF]

• Dilip Krishnan, Rob Fergus. "Fast Image Deconvolution using Hyper-Laplacian Priors" | [Home Page] | [PDF]

• Emanuel Todorov. "Compositionality of optimal control laws" | [Home Page] | [PDF]

• Nicolas Vayatis, Marine Depecker, Stéphan Clémençcon. "AUC optimization and the two-sample problem" | [Home Page] | [PDF]

• Ian Goodfellow, Honglak Lee, Quoc Le, Andrew Saxe, Andrew Ng. "Measuring Invariances in Deep Networks" | [Home Page] | [PDF]

• Kurt Miller, Michael Jordan, Thomas Griffiths. "Nonparametric Latent Feature Models for Link Prediction" | [Home Page] | [PDF]

• Percy S. Liang, Guillaume Bouchard, Francis Bach, Michael Jordan. "Asymptotically Optimal Regularization in Smooth Parametric Models" | [Home Page] | [PDF]

• Jaakko Luttinen, Alexander Ilin. "Variational Gaussian-process factor analysis for modeling spatio-temporal data" | [Home Page] | [PDF]

• Eric Garcia, Maya Gupta. "Lattice Regression" | [Home Page] | [PDF]

• Emily Fox, Michael Jordan, Erik Sudderth, Alan Willsky. "Sharing Features among Dynamical Systems with Beta Processes" | [Home Page] | [PDF]

• Mark Steyvers, Brent Miller, Pernille Hemmer, Michael Lee. "The Wisdom of Crowds in the Recollection of Order Information" | [Home Page] | [PDF]

• Liang Sun, Jun Liu, Jianhui Chen, Jieping Ye. "Efficient Recovery of Jointly Sparse Vectors" | [Home Page] | [PDF]

• Liefeng Bo, Cristian Sminchisescu. "Efficient Match Kernel between Sets of Features for Visual Recognition" | [Home Page] | [PDF]

• Jong Kim, Seungjin Choi. "Clustering sequence sets for motif discovery" | [Home Page] | [PDF]

• Francois Caron, Arnaud Doucet. "Bayesian Nonparametric Models on Decomposable Graphs" | [Home Page] | [PDF]

• Arno Onken, Steffen Grünewälder, Klaus Obermayer. "Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies" | [Home Page] | [PDF]

• Nir Ailon, Ragesh Jaiswal, Claire Monteleoni. "Streaming k-means approximation" | [Home Page] | [PDF]

• Tomer Ullman, Chris Baker, Owen Macindoe, Owain Evans, Noah Goodman, Joshua Tenenbaum. "Help or Hinder: Bayesian Models of Social Goal Inference" | [Home Page] | [PDF]

• Matthew Wilder, Matt Jones, Michael C. Mozer. "Sequential effects reflect parallel learning of multiple environmental regularities" | [Home Page] | [PDF]

• Robert Nowak. "Noisy Generalized Binary Search" | [Home Page] | [PDF]

• Liam Dermed, Charles Isbell. "Solving Stochastic Games" | [Home Page] | [PDF]

• Ilya Sutskever, Joshua Tenenbaum, Russ R. Salakhutdinov. "Modelling Relational Data using Bayesian Clustered Tensor Factorization" | [Home Page] | [PDF]

• Youngmin Cho, Lawrence Saul. "Kernel Methods for Deep Learning" | [Home Page] | [PDF]

• Romain Brasselet, Roland Johansson, Angelo Arleo. "Optimal context separation of spiking haptic signals by second-order somatosensory neurons" | [Home Page] | [PDF]

• Xiaolin Yang, Seyoung Kim, Eric Xing. "Heterogeneous multitask learning with joint sparsity constraints" | [Home Page] | [PDF]

• Volkan Cevher. "Learning with Compressible Priors" | [Home Page] | [PDF]

• Miguel Lázaro-Gredilla, Aníbal Figueiras-Vidal. "Inter-domain Gaussian Processes for Sparse Inference using Inducing Features" | [Home Page] | [PDF]

• Andrew Frank, Padhraic Smyth, Alexander Ihler. "Particle-based Variational Inference for Continuous Systems" | [Home Page] | [PDF]

• Yoram Singer, John C. Duchi. "Efficient Learning using Forward-Backward Splitting" | [Home Page] | [PDF]

• Arnak Dalalyan, Renaud Keriven. "$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry" | [Home Page] | [PDF]

• Brian Kulis, Trevor Darrell. "Learning to Hash with Binary Reconstructive Embeddings" | [Home Page] | [PDF]

• Daniel J. Hsu, Sham M. Kakade, John Langford, Tong Zhang. "Multi-Label Prediction via Compressed Sensing" | [Home Page] | [PDF]

• Kenji Fukumizu, Arthur Gretton, Gert Lanckriet, Bernhard Schölkopf, Bharath K. Sriperumbudur. "Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions" | [Home Page] | [PDF]

• Boaz Nadler, Nathan Srebro, Xueyuan Zhou. "Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data" | [Home Page] | [PDF]

• Kevin Briggman, Winfried Denk, Sebastian Seung, Moritz Helmstaedter, Srinivas C. Turaga. "Maximin affinity learning of image segmentation" | [Home Page] | [PDF]

• Samuel Gershman, Ed Vul, Joshua Tenenbaum. "Perceptual Multistability as Markov Chain Monte Carlo Inference" | [Home Page] | [PDF]

• Wu-jun Li, Dit-Yan Yeung, Zhihua Zhang. "Probabilistic Relational PCA" | [Home Page] | [PDF]

• Umar Syed, Aleksandrs Slivkins, Nina Mishra. "Adapting to the Shifting Intent of Search Queries" | [Home Page] | [PDF]

• Harold Pashler, Nicholas Cepeda, Robert V. Lindsey, Ed Vul, Michael C. Mozer. "Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory" | [Home Page] | [PDF]

• Samuel Bulò, Marcello Pelillo. "A Game-Theoretic Approach to Hypergraph Clustering" | [Home Page] | [PDF]

• Shuang-hong Yang, Hongyuan Zha, Bao-gang Hu. "Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora" | [Home Page] | [PDF]

• Daniel Cavagnaro, Jay Myung, Mark Pitt. "Adaptive Design Optimization in Experiments with People" | [Home Page] | [PDF]

• Jonathan Huang, Carlos Guestrin. "Riffled Independence for Ranked Data" | [Home Page] | [PDF]

• Robert Wilson, Leif Finkel. "A Neural Implementation of the Kalman Filter" | [Home Page] | [PDF]

• Menachem Fromer, Amir Globerson. "An LP View of the M-best MAP problem" | [Home Page] | [PDF]

• Matthias Seeger. "Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing" | [Home Page] | [PDF]

• Dimitris Margaritis. "Toward Provably Correct Feature Selection in Arbitrary Domains" | [Home Page] | [PDF]

• Vinod Nair, Geoffrey E. Hinton. "3D Object Recognition with Deep Belief Nets" | [Home Page] | [PDF]

• Guy Shani, Christopher Meek. "Improving Existing Fault Recovery Policies" | [Home Page] | [PDF]

• Novi Quadrianto, John Lim, Dale Schuurmans, Tibério Caetano. "Convex Relaxation of Mixture Regression with Efficient Algorithms" | [Home Page] | [PDF]

• Adam Sanborn, Nick Chater, Katherine A. Heller. "Hierarchical Learning of Dimensional Biases in Human Categorization" | [Home Page] | [PDF]

• Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri. "Polynomial Semantic Indexing" | [Home Page] | [PDF]

• Lei Shi, Thomas Griffiths. "Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling" | [Home Page] | [PDF]

• Irina Rish, Benjamin Thyreau, Bertrand Thirion, Marion Plaze, Marie-laure Paillere-martinot, Catherine Martelli, Jean-luc Martinot, Jean-baptiste Poline, Guillermo Cecchi. "Discriminative Network Models of Schizophrenia" | [Home Page] | [PDF]

• Mladen Kolar, Le Song, Eric Xing. "Sparsistent Learning of Varying-coefficient Models with Structural Changes" | [Home Page] | [PDF]

• Lin Xiao. "Dual Averaging Method for Regularized Stochastic Learning and Online Optimization" | [Home Page] | [PDF]

• Yiming Ying, Colin Campbell, Mark Girolami. "Analysis of SVM with Indefinite Kernels" | [Home Page] | [PDF]

• Charles Kemp. "Quantification and the language of thought" | [Home Page] | [PDF]

• Barry Chai, Dirk Walther, Diane Beck, Li Fei-fei. "Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis" | [Home Page] | [PDF]

• Kaushik Sinha, Mikhail Belkin. "Semi-supervised Learning using Sparse Eigenfunction Bases" | [Home Page] | [PDF]

• Raman Arora. "On Learning Rotations" | [Home Page] | [PDF]

• Jacob Goldberger, Amir Leshem. "A Gaussian Tree Approximation for Integer Least-Squares" | [Home Page] | [PDF]

• Arthur Gretton, Peter Spirtes, Robert Tillman. "Nonlinear directed acyclic structure learning with weakly additive noise models" | [Home Page] | [PDF]

• Andrew McCallum, Karl Schultz, Sameer Singh. "FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs" | [Home Page] | [PDF]

• James Petterson, Jin Yu, Julian Mcauley, Tibério Caetano. "Exponential Family Graph Matching and Ranking" | [Home Page] | [PDF]

• Yicong Meng, Bertram Shi. "Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out" | [Home Page] | [PDF]

• Chun-nan Hsu, Yu-ming Chang, Hanshen Huang, Yuh-jye Lee. "Periodic Step Size Adaptation for Single Pass On-line Learning" | [Home Page] | [PDF]

• Peter Orbanz. "Construction of Nonparametric Bayesian Models from Parametric Bayes Equations" | [Home Page] | [PDF]

• Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu, Zhirong Yang. "Adaptive Regularization for Transductive Support Vector Machine" | [Home Page] | [PDF]

• Siamac Fazli, Cristian Grozea, Marton Danoczy, Benjamin Blankertz, Florin Popescu, Klaus-Robert Müller. "Subject independent EEG-based BCI decoding" | [Home Page] | [PDF]

• Gert Lanckriet, Bharath K. Sriperumbudur. "On the Convergence of the Concave-Convex Procedure" | [Home Page] | [PDF]

• Sundeep Rangan, Alyson K. Fletcher. "Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis" | [Home Page] | [PDF]

• Zhi Yang, Qi Zhao, Edward Keefer, Wentai Liu. "Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording" | [Home Page] | [PDF]

• Koby Crammer, Alex Kulesza, Mark Dredze. "Adaptive Regularization of Weight Vectors" | [Home Page] | [PDF]

• Kuzman Ganchev, Ben Taskar, Fernando Pereira, João Gama. "Posterior vs Parameter Sparsity in Latent Variable Models" | [Home Page] | [PDF]

• Tao Hu, Anthony Leonardo, Dmitri Chklovskii. "Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)" | [Home Page] | [PDF]

• Andrew Guillory, Jeff A. Bilmes. "Label Selection on Graphs" | [Home Page] | [PDF]

• Arthur Gretton, Kenji Fukumizu, Zaïd Harchaoui, Bharath K. Sriperumbudur. "A Fast, Consistent Kernel Two-Sample Test" | [Home Page] | [PDF]

• Matthias Hein. "Robust Nonparametric Regression with Metric-Space Valued Output" | [Home Page] | [PDF]

• Peter Sollich, Matthew Urry, Camille Coti. "Kernels and learning curves for Gaussian process regression on random graphs" | [Home Page] | [PDF]

• Shuheng Zhou. "Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation" | [Home Page] | [PDF]

• Tomasz Malisiewicz, Alyosha Efros. "Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships" | [Home Page] | [PDF]

• Nan Ye, Wee Lee, Hai Chieu, Dan Wu. "Conditional Random Fields with High-Order Features for Sequence Labeling" | [Home Page] | [PDF]

• Charles Kemp, Alan Jern. "Abstraction and Relational learning" | [Home Page] | [PDF]

• Xiao-ming Wu, Anthony So, Zhenguo Li, Shuo-yen Li. "Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming" | [Home Page] | [PDF]

• Vivek Farias, Srikanth Jagabathula, Devavrat Shah. "A Data-Driven Approach to Modeling Choice" | [Home Page] | [PDF]

• Manqi Zhao, Venkatesh Saligrama. "Anomaly Detection with Score functions based on Nearest Neighbor Graphs" | [Home Page] | [PDF]

• Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, Jeff A. Bilmes. "Submodularity Cuts and Applications" | [Home Page] | [PDF]

• Ricardo Henao, Ole Winther. "Bayesian Sparse Factor Models and DAGs Inference and Comparison" | [Home Page] | [PDF]

• Paris Smaragdis, Madhusudana Shashanka, Bhiksha Raj. "A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds" | [Home Page] | [PDF]

• Sylvain Arlot, Francis Bach. "Data-driven calibration of linear estimators with minimal penalties" | [Home Page] | [PDF]

• Bryan Conroy, Ben Singer, James Haxby, Peter J. Ramadge. "fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity" | [Home Page] | [PDF]

• Honglak Lee, Peter Pham, Yan Largman, Andrew Ng. "Unsupervised feature learning for audio classification using convolutional deep belief networks" | [Home Page] | [PDF]

• Baback Moghaddam, Emtiyaz Khan, Kevin P. Murphy, Benjamin M. Marlin. "Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models" | [Home Page] | [PDF]

• Benjamin Culpepper, Bruno Olshausen. "Learning transport operators for image manifolds" | [Home Page] | [PDF]

• Keith Bush, Joelle Pineau. "Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability" | [Home Page] | [PDF]

• Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar. "Ensemble Nystrom Method" | [Home Page] | [PDF]

• Wei Bian, Dacheng Tao. "Manifold Regularization for SIR with Rate Root-n Convergence" | [Home Page] | [PDF]

• Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass. "STDP enables spiking neurons to detect hidden causes of their inputs" | [Home Page] | [PDF]

• Maxim Raginsky, Svetlana Lazebnik. "Locality-sensitive binary codes from shift-invariant kernels" | [Home Page] | [PDF]

• Rong Jin, Shijun Wang, Yang Zhou. "Regularized Distance Metric Learning:Theory and Algorithm" | [Home Page] | [PDF]

• Le Song, Mladen Kolar, Eric Xing. "Time-Varying Dynamic Bayesian Networks" | [Home Page] | [PDF]

• Yao-liang Yu, Yuxi Li, Dale Schuurmans, Csaba Szepesvári. "A General Projection Property for Distribution Families" | [Home Page] | [PDF]

• Stephen Gould, Tianshi Gao, Daphne Koller. "Region-based Segmentation and Object Detection" | [Home Page] | [PDF]

• Bangpeng Yao, Dirk Walther, Diane Beck, Li Fei-fei. "Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions" | [Home Page] | [PDF]

• Gunhee Kim, Antonio Torralba. "Unsupervised Detection of Regions of Interest Using Iterative Link Analysis" | [Home Page] | [PDF]

• Ingo Steinwart, Andreas Christmann. "Fast Learning from Non-i.i.d. Observations" | [Home Page] | [PDF]

• Sanja Fidler, Marko Boben, Ales Leonardis. "Evaluating multi-class learning strategies in a generative hierarchical framework for object detection" | [Home Page] | [PDF]

• Zhihua Zhang, Guang Dai. "Optimal Scoring for Unsupervised Learning" | [Home Page] | [PDF]

• Raghunandan Keshavan, Andrea Montanari, Sewoong Oh. "Matrix Completion from Noisy Entries" | [Home Page] | [PDF]

• Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya. "A Generalized Natural Actor-Critic Algorithm" | [Home Page] | [PDF]

• Chunxiao Zhou, Huixia Wang, Yongmei Wang. "Efficient Moments-based Permutation Tests" | [Home Page] | [PDF]

• Theodore Perkins. "Maximum likelihood trajectories for continuous-time Markov chains" | [Home Page] | [PDF]

• Garvesh Raskutti, Bin Yu, Martin J. Wainwright. "Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness" | [Home Page] | [PDF]

• Liwei Wang. "Sufficient Conditions for Agnostic Active Learnable" | [Home Page] | [PDF]

• Tat-jun Chin, Hanzi Wang, David Suter. "The Ordered Residual Kernel for Robust Motion Subspace Clustering" | [Home Page] | [PDF]

• Hamed Valizadegan, Rong Jin, Ruofei Zhang, Jianchang Mao. "Learning to Rank by Optimizing NDCG Measure" | [Home Page] | [PDF]

• Martin Zinkevich, John Langford, Alex Smola. "Slow Learners are Fast" | [Home Page] | [PDF]

• Shobha Venkataraman, Avrim Blum, Dawn Song, Subhabrata Sen, Oliver Spatscheck. "Tracking Dynamic Sources of Malicious Activity at Internet Scale" | [Home Page] | [PDF]

• Yusuke Watanabe, Kenji Fukumizu. "Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation" | [Home Page] | [PDF]

• Russ R. Salakhutdinov. "Learning in Markov Random Fields using Tempered Transitions" | [Home Page] | [PDF]

• Fen Xia, Tie-yan Liu, Hang Li. "Statistical Consistency of Top-k Ranking" | [Home Page] | [PDF]

• Zahi Karam, Douglas Sturim, William Campbell. "Speaker Comparison with Inner Product Discriminant Functions" | [Home Page] | [PDF]

• Sundeep Rangan, Vivek Goyal, Alyson K. Fletcher. "Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing" | [Home Page] | [PDF]

• Ruben Coen-cagli, Peter Dayan, Odelia Schwartz. "Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing" | [Home Page] | [PDF]

• Sebastian Gerwinn, Philipp Berens, Matthias Bethge. "A joint maximum-entropy model for binary neural population patterns and continuous signals" | [Home Page] | [PDF]

• Matthias Bethge, Eero Simoncelli, Fabian Sinz. "Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions" | [Home Page] | [PDF]

• Wenming Zheng, Zhouchen Lin. "Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification" | [Home Page] | [PDF]

• Michael Brückner, Tobias Scheffer. "Nash Equilibria of Static Prediction Games" | [Home Page] | [PDF]

• John Wright, Arvind Ganesh, Shankar Rao, Yigang Peng, Yi Ma. "Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization" | [Home Page] | [PDF]

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