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Publication search results
found 123 matches
- 2014
- Nir Ailon:
Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes. AISTATS 2014: 29-37 - Cem Aksoylar, Venkatesh Saligrama:
Information-Theoretic Characterization of Sparse Recovery. AISTATS 2014: 38-46 - Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank:
Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs. AISTATS 2014: 57-67 - Maria-Florina Balcan, Christopher Berlind:
A New Perspective on Learning Linear Separators with Large \(L_qL_p\) Margins. AISTATS 2014: 68-76 - Ava Bargi, Richard Yi Da Xu, Zoubin Ghahramani, Massimo Piccardi:
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response. AISTATS 2014: 77-85 - Luc Bégin, Pascal Germain, François Laviolette, Jean-Francis Roy:
PAC-Bayesian Theory for Transductive Learning. AISTATS 2014: 105-113 - Jeremias Berg, Matti Järvisalo, Brandon M. Malone:
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability. AISTATS 2014: 86-95 - Gilles Blanchard, Clayton Scott:
Decontamination of Mutually Contaminated Models. AISTATS 2014: 1-9 - Mathieu Blondel, Yotaro Kubo, Naonori Ueda:
Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion. AISTATS 2014: 96-104 - Miguel Á. Carreira-Perpiñán, Weiran Wang:
Distributed optimization of deeply nested systems. AISTATS 2014: 10-19 - Eunice Yuh-Jie Chen, Judea Pearl:
Random Bayesian networks with bounded indegree. AISTATS 2014: 114-121 - Jianhui Chen, Tianbao Yang, Shenghuo Zhu:
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs. AISTATS 2014: 122-130 - Robert Cohn, Satinder Singh, Edmund H. Durfee:
Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems. AISTATS 2014: 131-139 - Koby Crammer:
Doubly Aggressive Selective Sampling Algorithms for Classification. AISTATS 2014: 140-148 - Vinny Davies, Richard E. Reeve, William T. Harvey, Francois F. Maree, Dirk Husmeier:
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus. AISTATS 2014: 149-158 - Lee H. Dicker:
Sparsity and the truncated \(l2\)-norm. AISTATS 2014: 159-166 - Xinghao Ding, Yiyong Jiang, Yue Huang, John W. Paisley:
Pan-sharpening with a Bayesian nonparametric dictionary learning model. AISTATS 2014: 176-184 - Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama:
Efficient Distributed Topic Modeling with Provable Guarantees. AISTATS 2014: 167-175 - Christopher DuBois, Anoop Korattikara Balan, Max Welling, Padhraic Smyth:
Approximate Slice Sampling for Bayesian Posterior Inference. AISTATS 2014: 185-193 - Daniele Durante, David B. Dunson:
Bayesian Logistic Gaussian Process Models for Dynamic Networks. AISTATS 2014: 194-201 - David Duvenaud, Oren Rippel, Ryan P. Adams, Zoubin Ghahramani:
Avoiding pathologies in very deep networks. AISTATS 2014: 202-210 - Lili Dworkin, Michael J. Kearns, Lirong Xia:
Efficient Inference for Complex Queries on Complex Distributions. AISTATS 2014: 211-219 - Zoran Dzunic, John W. Fisher III:
Bayesian Switching Interaction Analysis Under Uncertainty. AISTATS 2014: 220-228 - Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse:
Robust learning of inhomogeneous PMMs. AISTATS 2014: 229-237 - Riki Eto, Ryohei Fujimaki, Satoshi Morinaga, Hiroshi Tamano:
Fully-Automatic Bayesian Piecewise Sparse Linear Models. AISTATS 2014: 238-246 - Andreea Gane, Tamir Hazan, Tommi S. Jaakkola:
Learning with Maximum A-Posteriori Perturbation Models. AISTATS 2014: 247-256 - Joachim Giesen, Sören Laue, Lars Kuehne:
Sketching the Support of a Probability Measure. AISTATS 2014: 257-265 - John Goes, Teng Zhang, Raman Arora, Gilad Lerman:
Robust Stochastic Principal Component Analysis. AISTATS 2014: 266-274 - Prem Gopalan, Francisco J. R. Ruiz, Rajesh Ranganath, David M. Blei:
Bayesian Nonparametric Poisson Factorization for Recommendation Systems. AISTATS 2014: 275-283 - Nico Görnitz, Anne Porbadnigk, Alexander Binder, Claudia Sannelli, Mikio L. Braun, Klaus-Robert Müller, Marius Kloft:
Learning and Evaluation in Presence of Non-i.i.d. Label Noise. AISTATS 2014: 293-302
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