Search results for "Tahoe"

Hits ?▲	Authors	Title	Venue	Year	Link
26	Andreas Ruttor, Philipp Batz, Manfred Opper	Approximate Gaussian process inference for the drift function in stochastic differential equations.	NIPS	2013	DBLP BibTeX RDF
26	Akshay Krishnamurthy, Aarti Singh	Low-Rank Matrix and Tensor Completion via Adaptive Sampling.	NIPS	2013	DBLP BibTeX RDF
26	Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann	Efficient Optimization for Sparse Gaussian Process Regression.	NIPS	2013	DBLP BibTeX RDF
26	Ian Osband, Daniel Russo 0001, Benjamin Van Roy	(More) Efficient Reinforcement Learning via Posterior Sampling.	NIPS	2013	DBLP BibTeX RDF
26	Suvrit Sra, Reshad Hosseini	Geometric optimisation on positive definite matrices for elliptically contoured distributions.	NIPS	2013	DBLP BibTeX RDF
26	Shiau Hong Lim, Huan Xu 0001, Shie Mannor	Reinforcement Learning in Robust Markov Decision Processes.	NIPS	2013	DBLP BibTeX RDF
26	Carlos J. Becker, C. Mario Christoudias, Pascal Fua	Non-Linear Domain Adaptation with Boosting.	NIPS	2013	DBLP BibTeX RDF
26	Dan Rosenbaum, Daniel Zoran, Yair Weiss	Learning the Local Statistics of Optical Flow.	NIPS	2013	DBLP BibTeX RDF
26	Chen-Ping Yu, Wen-Yu Hua, Dimitris Samaras, Gregory J. Zelinsky	Modeling Clutter Perception using Parametric Proto-object Partitioning.	NIPS	2013	DBLP BibTeX RDF
26	Raman Arora, Andrew Cotter, Nati Srebro	Stochastic Optimization of PCA with Capped MSG.	NIPS	2013	DBLP BibTeX RDF
26	Hossein Azari Soufiani, Hansheng Diao, Zhenyu Lai, David C. Parkes	Generalized Random Utility Models with Multiple Types.	NIPS	2013	DBLP BibTeX RDF
26	Ziteng Wang, Kai Fan, Jiaqi Zhang, Liwei Wang 0001	Efficient Algorithm for Privately Releasing Smooth Queries.	NIPS	2013	DBLP BibTeX RDF
26	Shinichi Nakajima, Akiko Takeda, S. Derin Babacan, Masashi Sugiyama, Ichiro Takeuchi	Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering.	NIPS	2013	DBLP BibTeX RDF
26	Paul Wagner	Optimistic policy iteration and natural actor-critic: A unifying view and a non-optimality result.	NIPS	2013	DBLP BibTeX RDF
26	Karthika Mohan, Judea Pearl, Jin Tian 0001	Graphical Models for Inference with Missing Data.	NIPS	2013	DBLP BibTeX RDF
26	Assaf Glazer, Michael Lindenbaum, Shaul Markovitch	q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions.	NIPS	2013	DBLP BibTeX RDF
26	Daniel Russo 0001, Benjamin Van Roy	Eluder Dimension and the Sample Complexity of Optimistic Exploration.	NIPS	2013	DBLP BibTeX RDF
26	Justin Domke	Structured Learning via Logistic Regression.	NIPS	2013	DBLP BibTeX RDF
26	Samory Kpotufe, Vikas K. Garg	Adaptivity to Local Smoothness and Dimension in Kernel Regression.	NIPS	2013	DBLP BibTeX RDF
26	Nicolò Cesa-Bianchi, Ofer Dekel, Ohad Shamir	Online Learning with Switching Costs and Other Adaptive Adversaries.	NIPS	2013	DBLP BibTeX RDF
26	Christian Szegedy, Alexander Toshev, Dumitru Erhan	Deep Neural Networks for Object Detection.	NIPS	2013	DBLP BibTeX RDF
26	Jiashi Feng, Huan Xu 0001, Shuicheng Yan	Online Robust PCA via Stochastic Optimization.	NIPS	2013	DBLP BibTeX RDF
26	Yaoliang Yu	Better Approximation and Faster Algorithm Using the Proximal Average.	NIPS	2013	DBLP BibTeX RDF
26	Hu Ding, Ronald Berezney, Jinhui Xu 0001	k-Prototype Learning for 3D Rigid Structures.	NIPS	2013	DBLP BibTeX RDF
26	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.	NIPS	2013	DBLP BibTeX RDF
26	Daniel Yamins, Ha Hong, Charles F. Cadieu, James J. DiCarlo	Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream.	NIPS	2013	DBLP BibTeX RDF
26	Michael C. Hughes, Erik B. Sudderth	Memoized Online Variational Inference for Dirichlet Process Mixture Models.	NIPS	2013	DBLP BibTeX RDF
26	Leonidas Lefakis, François Fleuret	Reservoir Boosting : Between Online and Offline Ensemble Learning.	NIPS	2013	DBLP BibTeX RDF
26	Özgür Simsek	Linear decision rule as aspiration for simple decision heuristics.	NIPS	2013	DBLP BibTeX RDF
26	Ping Li 0001, Gennady Samorodnitsky, John E. Hopcroft	Sign Cauchy Projections and Chi-Square Kernel.	NIPS	2013	DBLP BibTeX RDF
26	Fang Zhao, Yongzhen Huang, Liang Wang 0001, Tieniu Tan	Relevance Topic Model for Unstructured Social Group Activity Recognition.	NIPS	2013	DBLP BibTeX RDF
26	Bruno Scherrer	Improved and Generalized Upper Bounds on the Complexity of Policy Iteration.	NIPS	2013	DBLP BibTeX RDF
26	Sivan Sabato, Anand D. Sarwate, Nati Srebro	Auditing: Active Learning with Outcome-Dependent Query Costs.	NIPS	2013	DBLP BibTeX RDF
26	Dae Il Kim, Prem Gopalan, David M. Blei, Erik B. Sudderth	Efficient Online Inference for Bayesian Nonparametric Relational Models.	NIPS	2013	DBLP BibTeX RDF
26	Xinhua Zhang, Wee Sun Lee, Yee Whye Teh	Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space.	NIPS	2013	DBLP BibTeX RDF
26	Adhiraj Somani, Nan Ye, David Hsu, Wee Sun Lee	DESPOT: Online POMDP Planning with Regularization.	NIPS	2013	DBLP BibTeX RDF
26	Robert V. Lindsey, Michael Mozer, William J. Huggins, Harold Pashler	Optimizing Instructional Policies.	NIPS	2013	DBLP BibTeX RDF
26	Tamara Broderick, Nicholas Boyd, Andre Wibisono, Ashia C. Wilson, Michael I. Jordan	Streaming Variational Bayes.	NIPS	2013	DBLP BibTeX RDF
26	Fajwel Fogel, Rodolphe Jenatton, Francis R. Bach, Alexandre d'Aspremont	Convex Relaxations for Permutation Problems.	NIPS	2013	DBLP BibTeX RDF
26	Mahdi Milani Fard, Yuri Grinberg, Amir-massoud Farahmand, Joelle Pineau, Doina Precup	Bellman Error Based Feature Generation using Random Projections on Sparse Spaces.	NIPS	2013	DBLP BibTeX RDF
26	Cho-Jui Hsieh, Mátyás A. Sustik, Inderjit S. Dhillon, Pradeep Ravikumar, Russell A. Poldrack	BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables.	NIPS	2013	DBLP BibTeX RDF
26	Prashanth L. A., Mohammad Ghavamzadeh	Actor-Critic Algorithms for Risk-Sensitive MDPs.	NIPS	2013	DBLP BibTeX RDF
26	Jie Liu 0006, David Page	Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models.	NIPS	2013	DBLP BibTeX RDF
26	Sébastien Bubeck, Che-Yu Liu	Prior-free and prior-dependent regret bounds for Thompson Sampling.	NIPS	2013	DBLP BibTeX RDF
26	Nima Taghipour, Jesse Davis, Hendrik Blockeel	First-order Decomposition Trees.	NIPS	2013	DBLP BibTeX RDF
26	Shaobo Han, Xuejun Liao, Lawrence Carin	Integrated Non-Factorized Variational Inference.	NIPS	2013	DBLP BibTeX RDF
26	David J. Weiss, Ben Taskar	Learning Adaptive Value of Information for Structured Prediction.	NIPS	2013	DBLP BibTeX RDF
26	Michalis K. Titsias, Miguel Lázaro-Gredilla	Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression.	NIPS	2013	DBLP BibTeX RDF
26	Dimitris Achlioptas, Zohar Shay Karnin, Edo Liberty	Near-Optimal Entrywise Sampling for Data Matrices.	NIPS	2013	DBLP BibTeX RDF
26	Myunghwan Kim 0002, Jure Leskovec	Nonparametric Multi-group Membership Model for Dynamic Networks.	NIPS	2013	DBLP BibTeX RDF
26	Zooko Wilcox-O'Hearn, Brian Warner	Tahoe - The Least-Authority Filesystem.	IACR Cryptol. ePrint Arch.	2012	DBLP BibTeX RDF
26	Daniel Schlessinger	Concept Tahoe: Microphone Midi Control.	NIME	2012	DBLP DOI BibTeX RDF
26	Peter L. Bartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Léon Bottou, Kilian Q. Weinberger (eds.)	Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States.	NIPS	2012	DBLP BibTeX RDF
26	Ping Li 0001, Art B. Owen, Cun-Hui Zhang	One Permutation Hashing.	NIPS	2012	DBLP BibTeX RDF
26	Qixia Jiang, Jun Zhu 0001, Maosong Sun, Eric P. Xing	Monte Carlo Methods for Maximum Margin Supervised Topic Models.	NIPS	2012	DBLP BibTeX RDF
26	Bonnie Kirkpatrick, Alexandre Bouchard-Côté	Bayesian Pedigree Analysis using Measure Factorization.	NIPS	2012	DBLP BibTeX RDF
26	Arnak S. Dalalyan, Yin Chen	Fused sparsity and robust estimation for linear models with unknown variance.	NIPS	2012	DBLP BibTeX RDF
26	Firdaus Janoos, Weichang Li, Niranjan A. Subrahmanya, István Ákos Mórocz, William M. Wells III	Identification of Recurrent Patterns in the Activation of Brain Networks.	NIPS	2012	DBLP BibTeX RDF
26	Nicolás Della Penna, Mark D. Reid, Rafael M. Frongillo	Interpreting prediction markets: a stochastic approach.	NIPS	2012	DBLP BibTeX RDF
26	Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon	Automatic Feature Induction for Stagewise Collaborative Filtering.	NIPS	2012	DBLP BibTeX RDF
26	Xiao-Ming Wu 0003, Zhenguo Li, Anthony Man-Cho So, John Wright 0001, Shih-Fu Chang	Learning with Partially Absorbing Random Walks.	NIPS	2012	DBLP BibTeX RDF
26	Wouter M. Koolen, Dmitry Adamskiy, Manfred K. Warmuth	Putting Bayes to sleep.	NIPS	2012	DBLP BibTeX RDF
26	Levi Boyles, Max Welling	The Time-Marginalized Coalescent Prior for Hierarchical Clustering.	NIPS	2012	DBLP BibTeX RDF
26	Anteo Smerieri, François Duport, Yvan Paquot, Benjamin Schrauwen, Marc Haelterman, Serge Massar	Analog readout for optical reservoir computers.	NIPS	2012	DBLP BibTeX RDF
26	Yudong Chen 0001, Sujay Sanghavi, Huan Xu 0001	Clustering Sparse Graphs.	NIPS	2012	DBLP BibTeX RDF
26	Stephen H. Bach, Matthias Broecheler, Lise Getoor, Dianne P. O'Leary	Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization.	NIPS	2012	DBLP BibTeX RDF
26	Allison Chang, Dimitris Bertsimas, Cynthia Rudin	An Integer Optimization Approach to Associative Classification.	NIPS	2012	DBLP BibTeX RDF
26	Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey	Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting.	NIPS	2012	DBLP BibTeX RDF
26	Sander M. Bohté	Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model.	NIPS	2012	DBLP BibTeX RDF
26	Andriy Mnih, Yee Whye Teh	Learning Label Trees for Probabilistic Modelling of Implicit Feedback.	NIPS	2012	DBLP BibTeX RDF
26	Pinghua Gong, Jieping Ye, Changshui Zhang	Multi-Stage Multi-Task Feature Learning.	NIPS	2012	DBLP BibTeX RDF
26	Jeffrey M. Beck, Katherine A. Heller, Alexandre Pouget	Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models.	NIPS	2012	DBLP BibTeX RDF
26	Weilong Yang, Yang Wang 0003, Arash Vahdat, Greg Mori	Kernel Latent SVM for Visual Recognition.	NIPS	2012	DBLP BibTeX RDF
26	Shaul Druckmann, Tao Hu 0005, Dmitri B. Chklovskii	A mechanistic model of early sensory processing based on subtracting sparse representations.	NIPS	2012	DBLP BibTeX RDF
26	Junyuan Xie, Linli Xu, Enhong Chen	Image Denoising and Inpainting with Deep Neural Networks.	NIPS	2012	DBLP BibTeX RDF
26	Neil Houlsby, José Miguel Hernández-Lobato, Ferenc Huszar, Zoubin Ghahramani	Collaborative Gaussian Processes for Preference Learning.	NIPS	2012	DBLP BibTeX RDF
26	Pradeep Shenoy, Angela J. Yu	Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making.	NIPS	2012	DBLP BibTeX RDF
26	Tuo Zhao, Kathryn Roeder, Han Liu 0001	Smooth-projected Neighborhood Pursuit for High-dimensional Nonparanormal Graph Estimation.	NIPS	2012	DBLP BibTeX RDF
26	Kevin Swersky, Daniel Tarlow, Ryan P. Adams, Richard S. Zemel, Brendan J. Frey	Probabilistic n-Choose-k Models for Classification and Ranking.	NIPS	2012	DBLP BibTeX RDF
26	Alex Flint, Matthew B. Blaschko	Perceptron Learning of SAT.	NIPS	2012	DBLP BibTeX RDF
26	Han Liu 0001, Fang Han, Cun-Hui Zhang	Transelliptical Graphical Models.	NIPS	2012	DBLP BibTeX RDF
26	Anima Anandkumar, Dean P. Foster, Daniel J. Hsu, Sham M. Kakade, Yi-Kai Liu 0001	A Spectral Algorithm for Latent Dirichlet Allocation.	NIPS	2012	DBLP BibTeX RDF
26	Dengyong Zhou, John C. Platt, Sumit Basu, Yi Mao	Learning from the Wisdom of Crowds by Minimax Entropy.	NIPS	2012	DBLP BibTeX RDF
26	Cho-Jui Hsieh, Inderjit S. Dhillon, Pradeep Ravikumar, Arindam Banerjee 0001	A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation.	NIPS	2012	DBLP BibTeX RDF
26	Tony Jebara, Anna Choromanska	Majorization for CRFs and Latent Likelihoods.	NIPS	2012	DBLP BibTeX RDF
26	Jayadev Acharya, Hirakendu Das, Alon Orlitsky	Tight Bounds on Profile Redundancy and Distinguishability.	NIPS	2012	DBLP BibTeX RDF
26	Jake V. Bouvrie, Jean-Jacques E. Slotine	Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes.	NIPS	2012	DBLP BibTeX RDF
26	Kei Wakabayashi, Takao Miura	Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models.	NIPS	2012	DBLP BibTeX RDF
26	Sanja Fidler, Sven J. Dickinson, Raquel Urtasun	3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model.	NIPS	2012	DBLP BibTeX RDF
26	Chen Chen 0003, Junzhou Huang	Compressive Sensing MRI with Wavelet Tree Sparsity.	NIPS	2012	DBLP BibTeX RDF
26	James Y. Zou, Ryan P. Adams	Priors for Diversity in Generative Latent Variable Models.	NIPS	2012	DBLP BibTeX RDF
26	Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric	Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence.	NIPS	2012	DBLP BibTeX RDF
26	Nisheeth Srivastava, Paul R. Schrater	Rational inference of relative preferences.	NIPS	2012	DBLP BibTeX RDF
26	Jacquelyn A. Shelton, Philip Sterne, Jörg Bornschein, Abdul-Saboor Sheikh, Jörg Lücke	Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding.	NIPS	2012	DBLP BibTeX RDF
26	Benjamin T. Rolfs, Bala Rajaratnam, Dominique Guillot, Ian Wong, Arian Maleki	Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation.	NIPS	2012	DBLP BibTeX RDF
26	Ronald Ortner, Daniil Ryabko	Online Regret Bounds for Undiscounted Continuous Reinforcement Learning.	NIPS	2012	DBLP BibTeX RDF
26	Amir Massoud Farahmand, Doina Precup	Value Pursuit Iteration.	NIPS	2012	DBLP BibTeX RDF
26	Jonathan W. Pillow, James G. Scott	Fully Bayesian inference for neural models with negative-binomial spiking.	NIPS	2012	DBLP BibTeX RDF
26	Simon M. J. Lyons, Amos J. Storkey, Simo Särkkä	The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes.	NIPS	2012	DBLP BibTeX RDF
26	Daniel Zoran, Yair Weiss	"Natural Images, Gaussian Mixtures and Dead Leaves".	NIPS	2012	DBLP BibTeX RDF