NeurIPS 2011
306 papers
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm
Julie Dethier, Paul Nuyujukian, Chris Eliasmith, Terrence C. Stewart, Shauki A. Elasaad, Krishna V. Shenoy, Kwabena A. Boahen A Denoising View of Matrix Completion
Weiran Wang, Miguel Á. Carreira-Perpiñán, Zhengdong Lu A Two-Stage Weighting Framework for Multi-Source Domain Adaptation
Qian Sun, Rita Chattopadhyay, Sethuraman Panchanathan, Jieping Ye Adaptive Hedge
Tim V. Erven, Wouter M. Koolen, Steven D. Rooij, Peter Grünwald Additive Gaussian Processes
David K. Duvenaud, Hannes Nickisch, Carl E. Rasmussen Advice Refinement in Knowledge-Based SVMs
Gautam Kunapuli, Richard Maclin, Jude W. Shavlik Algorithms for Hyper-Parameter Optimization
James S. Bergstra, Rémi Bardenet, Yoshua Bengio, Balázs Kégl An Exact Algorithm for F-Measure Maximization
Krzysztof J. Dembczynski, Willem Waegeman, Weiwei Cheng, Eyke Hüllermeier Analysis and Improvement of Policy Gradient Estimation
Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama Co-Training for Domain Adaptation
Minmin Chen, Kilian Q. Weinberger, John Blitzer Collective Graphical Models
Daniel R. Sheldon, Thomas G. Dietterich Committing Bandits
Loc X. Bui, Ramesh Johari, Shie Mannor Composite Multiclass Losses
Elodie Vernet, Mark D. Reid, Robert C. Williamson Confidence Sets for Network Structure
David S. Choi, Patrick J. Wolfe, Edoardo M. Airoldi Continuous-Time Regression Models for Longitudinal Networks
Duy Q. Vu, David Hunter, Padhraic Smyth, Arthur U. Asuncion Crowdclustering
Ryan G. Gomes, Peter Welinder, Andreas Krause, Pietro Perona Data Skeletonization via Reeb Graphs
Xiaoyin Ge, Issam I. Safa, Mikhail Belkin, Yusu Wang Demixed Principal Component Analysis
Wieland Brendel, Ranulfo Romo, Christian K. Machens Divide-and-Conquer Matrix Factorization
Lester W. Mackey, Michael I. Jordan, Ameet Talwalkar Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Richard Socher, Eric H. Huang, Jeffrey Pennin, Christopher D. Manning, Andrew Y. Ng Dynamical Segmentation of Single Trials from Population Neural Data
Biljana Petreska, Byron M. Yu, John P. Cunningham, Gopal Santhanam, Stephen I. Ryu, Krishna V. Shenoy, Maneesh Sahani Efficient Inference in Matrix-Variate Gaussian Models with \iid Observation Noise
Oliver Stegle, Christoph Lippert, Joris M. Mooij, Neil D. Lawrence, Karsten Borgwardt Empirical Models of Spiking in Neural Populations
Jakob H. Macke, Lars Buesing, John P. Cunningham, Byron M. Yu, Krishna V. Shenoy, Maneesh Sahani Energetically Optimal Action Potentials
Martin B. Stemmler, Biswa Sengupta, Simon Laughlin, Jeremy Niven Fast and Accurate K-Means for Large Datasets
Michael Shindler, Alex Wong, Adam W. Meyerson Generalised Coupled Tensor Factorisation
Kenan Y. Yılmaz, Ali T. Cemgil, Umut Simsekli Generalized Beta Mixtures of Gaussians
Artin Armagan, Merlise Clyde, David B. Dunson Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua L. Moore, Arnd C. König Hierarchical Multitask Structured Output Learning for Large-Scale Sequence Segmentation
Nico Goernitz, Christian K. Widmer, Georg Zeller, Andre Kahles, Gunnar Rätsch, Sören Sonnenburg Hierarchically Supervised Latent Dirichlet Allocation
Adler J. Perotte, Frank Wood, Noemie Elhadad, Nicholas Bartlett Higher-Order Correlation Clustering for Image Segmentation
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo How Biased Are Maximum Entropy Models?
Jakob H. Macke, Iain Murray, Peter E. Latham Improved Algorithms for Linear Stochastic Bandits
Yasin Abbasi-yadkori, Dávid Pál, Csaba Szepesvári Inference in Continuous-Time Change-Point Models
Florian Stimberg, Manfred Opper, Guido Sanguinetti, Andreas Ruttor Inverting Grice's Maxims to Learn Rules from Natural Language Extractions
Mohammad S. Sorower, Janardhan R. Doppa, Walker Orr, Prasad Tadepalli, Thomas G. Dietterich, Xiaoli Z. Fern Joint 3D Estimation of Objects and Scene Layout
Andreas Geiger, Christian Wojek, Raquel Urtasun Kernel Bayes' Rule
Kenji Fukumizu, Le Song, Arthur Gretton Learning Anchor Planes for Classification
Ziming Zhang, Lubor Ladicky, Philip Torr, Amir Saffari Learning Eigenvectors for Free
Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth Learning to Agglomerate Superpixel Hierarchies
Viren Jain, Srinivas C. Turaga, K Briggman, Moritz N. Helmstaedter, Winfried Denk, H. S. Seung Learning to Learn with Compound HD Models
Antonio Torralba, Joshua B. Tenenbaum, Ruslan Salakhutdinov Learning to Search Efficiently in High Dimensions
Zhen Li, Huazhong Ning, Liangliang Cao, Tong Zhang, Yihong Gong, Thomas S. Huang Learning Unbelievable Probabilities
Zachary Pitkow, Yashar Ahmadian, Ken D. Miller Matrix Completion for Multi-Label Image Classification
Ricardo S. Cabral, Fernando Torre, Joao P. Costeira, Alexandre Bernardino Maximum Covariance Unfolding : Manifold Learning for Bimodal Data
Vijay Mahadevan, Chi W. Wong, Jose C. Pereira, Tom Liu, Nuno Vasconcelos, Lawrence K. Saul Maximum Margin Multi-Instance Learning
Hua Wang, Heng Huang, Farhad Kamangar, Feiping Nie, Chris H. Ding Metric Learning with Multiple Kernels
Jun Wang, Huyen T. Do, Adam Woznica, Alexandros Kalousis Minimax Localization of Structural Information in Large Noisy Matrices
Mladen Kolar, Sivaraman Balakrishnan, Alessandro Rinaldo, Aarti Singh Multi-Bandit Best Arm Identification
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric, Sébastien Bubeck Multi-View Learning of Word Embeddings via CCA
Paramveer Dhillon, Dean P. Foster, Lyle H. Ungar Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach
Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-bonhage, Andrzej S. Cichocki Multiple Instance Filtering
Kamil A. Wnuk, Stefano Soatto Multiple Instance Learning on Structured Data
Dan Zhang, Yan Liu, Luo Si, Jian Zhang, Richard D. Lawrence Nearest Neighbor Based Greedy Coordinate Descent
Inderjit S. Dhillon, Pradeep K. Ravikumar, Ambuj Tewari Neural Reconstruction with Approximate Message Passing (NeuRAMP)
Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney, Aniruddha Bhargava Noise Thresholds for Spectral Clustering
Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy, Aarti Singh Object Detection with Grammar Models
Ross B. Girshick, Pedro F. Felzenszwalb, David A. McAllester On Causal Discovery with Cyclic Additive Noise Models
Joris M. Mooij, Dominik Janzing, Tom Heskes, Bernhard Schölkopf On the Accuracy of L1-Filtering of Signals with Block-Sparse Structure
Fatma K. Karzan, Arkadi S. Nemirovski, Boris T. Polyak, Anatoli Juditsky On the Universality of Online Mirror Descent
Nati Srebro, Karthik Sridharan, Ambuj Tewari On Tracking the Partition Function
Guillaume Desjardins, Yoshua Bengio, Aaron C. Courville Orthogonal Matching Pursuit with Replacement
Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon PAC-Bayesian Analysis of Contextual Bandits
Yevgeny Seldin, Peter Auer, John S. Shawe-taylor, Ronald Ortner, François Laviolette Portmanteau Vocabularies for Multi-Cue Image Representation
Fahad S. Khan, Joost Weijer, Andrew D. Bagdanov, Maria Vanrell Predicting Dynamic Difficulty
Olana Missura, Thomas Gärtner Pylon Model for Semantic Segmentation
Victor Lempitsky, Andrea Vedaldi, Andrew Zisserman Query-Aware MCMC
Michael L. Wick, Andrew McCallum Randomized Algorithms for Comparison-Based Search
Dominique Tschopp, Suhas Diggavi, Payam Delgosha, Soheil Mohajer Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
Carsten Rother, Martin Kiefel, Lumin Zhang, Bernhard Schölkopf, Peter V. Gehler Relative Density-Ratio Estimation for Robust Distribution Comparison
Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama Robust Multi-Class Gaussian Process Classification
Daniel Hernández-lobato, Jose M. Hernández-lobato, Pierre Dupont See the Tree Through the Lines: The Shazoo Algorithm
Fabio Vitale, Nicolò Cesa-bianchi, Claudio Gentile, Giovanni Zappella Select and Sample - A Model of Efficient Neural Inference and Learning
Jacquelyn A. Shelton, Abdul S. Sheikh, Pietro Berkes, Joerg Bornschein, Jörg Lücke Semantic Labeling of 3D Point Clouds for Indoor Scenes
Hema S. Koppula, Abhishek Anand, Thorsten Joachims, Ashutosh Saxena Sparse Bayesian Multi-Task Learning
Shengbo Guo, Onno Zoeter, Cédric Archambeau Sparse Features for PCA-like Linear Regression
Christos Boutsidis, Petros Drineas, Malik Magdon-Ismail Sparse Filtering
Jiquan Ngiam, Zhenghao Chen, Sonia A. Bhaskar, Pang W. Koh, Andrew Y. Ng Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-jui Hsieh, Inderjit S. Dhillon, Pradeep K. Ravikumar, Mátyás A. Sustik Sparse Recovery with Brownian Sensing
Alexandra Carpentier, Odalric-ambrym Maillard, Rémi Munos Spectral Methods for Learning Multivariate Latent Tree Structure
Animashree Anandkumar, Kamalika Chaudhuri, Daniel J. Hsu, Sham M. Kakade, Le Song, Tong Zhang Speedy Q-Learning
Mohammad Ghavamzadeh, Hilbert J. Kappen, Mohammad G. Azar, Rémi Munos Statistical Performance of Convex Tensor Decomposition
Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima Statistical Tests for Optimization Efficiency
Levi Boyles, Anoop Korattikara, Deva Ramanan, Max Welling Stochastic Convex Optimization with Bandit Feedback
Alekh Agarwal, Dean P. Foster, Daniel J. Hsu, Sham M. Kakade, Alexander Rakhlin Submodular Multi-Label Learning
James Petterson, Tibério S. Caetano Testing a Bayesian Measure of Representativeness Using a Large Image Database
Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani, Thomas L. Griffiths The Kernel Beta Process
Lu Ren, Yingjian Wang, Lawrence Carin, David B. Dunson The Manifold Tangent Classifier
Salah Rifai, Yann N. Dauphin, Pascal Vincent, Yoshua Bengio, Xavier Muller Transfer from Multiple MDPs
Alessandro Lazaric, Marcello Restelli Understanding the Intrinsic Memorability of Images
Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva Variance Penalizing AdaBoost
Pannagadatta K. Shivaswamy, Tony Jebara Variational Gaussian Process Dynamical Systems
Andreas Damianou, Michalis K. Titsias, Neil D. Lawrence Variational Learning for Recurrent Spiking Networks
Danilo J. Rezende, Daan Wierstra, Wulfram Gerstner