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Publication search results
found 128 matches
- 2015
- Zoltán Szabó, Arthur Gretton, Barnabás Póczos, Bharath K. Sriperumbudur:
Two-stage sampled learning theory on distributions. AISTATS 2015 - Ping Li, Cun-Hui Zhang:
Compressed Sensing with Very Sparse Gaussian Random Projections. AISTATS 2015 - Lijun Zhang, Tianbao Yang, Rong Jin, Zhi-Hua Zhou:
A Simple Homotopy Algorithm for Compressive Sensing. AISTATS 2015 - Xin Li, Yuhong Guo:
Max-Margin Zero-Shot Learning for Multi-class Classification. AISTATS 2015 - Xin Li, Feipeng Zhao, Yuhong Guo:
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels. AISTATS 2015 - Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou:
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices. AISTATS 2015 - Sreangsu Acharyya, Joydeep Ghosh:
Parameter Estimation of Generalized Linear Models without Assuming their Link Function. AISTATS 2015 - David G. Anderson, Simon Du, Michael W. Mahoney, Christopher Melgaard, Kunming Wu, Ming Gu:
Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method. AISTATS 2015 - Onur Atan, Cem Tekin, Mihaela van der Schaar:
Global Multi-armed Bandits with Hölder Continuity. AISTATS 2015 - Martin Azizyan, Aarti Singh, Larry A. Wasserman:
Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures. AISTATS 2015 - Stephen H. Bach, Bert Huang, Lise Getoor:
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. AISTATS 2015 - Gábor Balázs, András György, Csaba Szepesvári:
Near-optimal max-affine estimators for convex regression. AISTATS 2015 - Aviad Barzilai, Koby Crammer:
Convex Multi-Task Learning by Clustering. AISTATS 2015 - Alessio Benavoli, Francesca Mangili:
Gaussian Processes for Bayesian hypothesis tests on regression functions. AISTATS 2015 - Aditya Bhaskara, Ananda Theertha Suresh, Morteza Zadimoghaddam:
Sparse Solutions to Nonnegative Linear Systems and Applications. AISTATS 2015 - Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo:
Generalized Linear Models for Aggregated Data. AISTATS 2015 - Yuri Burda, Roger B. Grosse, Ruslan Salakhutdinov:
Accurate and conservative estimates of MRF log-likelihood using reverse annealing. AISTATS 2015 - David E. Carlson, Volkan Cevher, Lawrence Carin:
Stochastic Spectral Descent for Restricted Boltzmann Machines. AISTATS 2015 - Alexandra Carpentier:
Implementable confidence sets in high dimensional regression. AISTATS 2015 - Sougata Chaudhuri, Ambuj Tewari:
Online Ranking with Top-1 Feedback. AISTATS 2015 - Sheng Chen, Arindam Banerjee:
One-bit Compressed Sensing with the k-Support Norm. AISTATS 2015 - Wenlin Chen, Yixin Chen, Kilian Q. Weinberger:
Filtered Search for Submodular Maximization with Controllable Approximation Bounds. AISTATS 2015 - Yetian Chen, Lingjian Meng, Jin Tian:
Exact Bayesian Learning of Ancestor Relations in Bayesian Networks. AISTATS 2015 - Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin:
Efficient Second-Order Gradient Boosting for Conditional Random Fields. AISTATS 2015 - Xiangli Chen, Brian D. Ziebart:
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems. AISTATS 2015 - Dehua Cheng, Xinran He, Yan Liu:
Model Selection for Topic Models via Spectral Decomposition. AISTATS 2015 - Anna Choromanska, Mikael Henaff, Michaël Mathieu, Gérard Ben Arous, Yann LeCun:
The Loss Surfaces of Multilayer Networks. AISTATS 2015 - Alexandre Défossez, Francis R. Bach:
Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions. AISTATS 2015 - Weicong Ding, Prakash Ishwar, Venkatesh Saligrama:
A Topic Modeling Approach to Ranking. AISTATS 2015 - Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song:
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. AISTATS 2015
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