conftrace_

AISTATS 2014

121 papers

Approximate Slice Sampling for Bayesian Posterior Inference

Christopher DuBois, Anoop Korattikara, Max Welling, Padhraic Smyth

Pan-sharpening with a Bayesian nonparametric dictionary learning model

Xinghao Ding, Yiyong Jiang, Yue Huang, John Paisley

Efficient Distributed Topic Modeling with Provable Guarantees

Weicong Ding, Mohammad Rohban, Prakash Ishwar, Venkatesh Saligrama

Sparsity and the Truncated l^2-norm

Lee Dicker

Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus

Vinny Davies, Richard Reeve, William Harvey, Francois Maree, Dirk Husmeier

Doubly Aggressive Selective Sampling Algorithms for Classification

Koby Crammer

Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems

Robert Cohn, Satinder Singh, Edmund Durfee

Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs

Jianhui Chen, Tianbao Yang, Shenghuo Zhu

Random Bayesian networks with bounded indegree

Eunice Yuh-Jie Chen, Judea Pearl

PAC-Bayesian Theory for Transductive Learning

Luc Bégin, Pascal Germain, François Laviolette, Jean-Francis Roy

Online Passive-Aggressive Algorithms for Non-Negative Matrix Factorization and Completion

Mathieu Blondel, Yotaro Kubo, Ueda Naonori

Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability

Jeremias Berg, Matti Järvisalo, Brandon Malone

A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response

Ava Bargi, Richard Yi Xu, Zoubin Ghahramani, Massimo Piccardi

A New Perspective on Learning Linear Separators with Large L_qL_p Margins

Maria-Florina Balcan, Christopher Berlind

Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs

Waheed Bajwa, Marco Duarte, Robert Calderbank

Hybrid Discriminative-Generative Approach with Gaussian Processes

Ricardo Andrade Pacheco, James Hensman, Max Zwiessele, Neil D. Lawrence

Information-Theoretic Characterization of Sparse Recovery

Cem Aksoylar, Venkatesh Saligrama

Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes

Nir Ailon

Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes?

Shinichi Nakajima, Masashi Sugiyama

Distributed optimization of deeply nested systems

Miguel Carreira-Perpinan, Weiran Wang

Decontamination of Mutually Contaminated Models

Gilles Blanchard, Clayton Scott