AISTATS 2015

126 papers

Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades

Mehrdad Farajtabar, Manuel Gomez Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha

A totally unimodular view of structured sparsity

Marwa El Halabi, Volkan Cevher

A Topic Modeling Approach to Ranking

Weicong Ding, Prakash Ishwar, Venkatesh Saligrama

Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions

Alexandre Defossez, Francis Bach

The Loss Surfaces of Multilayer Networks

Anna Choromanska, Mikael Henaff, Michael Mathieu, Gerard Ben Arous, Yann LeCun

Model Selection for Topic Models via Spectral Decomposition

Dehua Cheng, Xinran He, Yan Liu

Exact Bayesian Learning of Ancestor Relations in Bayesian Networks

Yetian Chen, Lingjian Meng, Jin Tian

Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems

Xiangli Chen, Brian Ziebart

Filtered Search for Submodular Maximization with Controllable Approximation Bounds

Wenlin Chen, Yixin Chen, Kilian Weinberger

Efficient Second-Order Gradient Boosting for Conditional Random Fields

Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin

One-bit Compressed Sensing with the k-Support Norm

Sheng Chen, Arindam Banerjee

Online Ranking with Top-1 Feedback

Sougata Chaudhuri, Ambuj Tewari

Implementable confidence sets in high dimensional regression

Alexandra Carpentier

Stochastic Spectral Descent for Restricted Boltzmann Machines

David Carlson, Volkan Cevher, Lawrence Carin

Accurate and conservative estimates of MRF log-likelihood using reverse annealing

Yuri Burda, Roger Grosse, Ruslan Salakhutdinov

Generalized Linear Models for Aggregated Data

Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo

Sparse Solutions to Nonnegative Linear Systems and Applications

Aditya Bhaskara, Ananda Suresh, Morteza Zadimoghaddam

Gaussian Processes for Bayesian hypothesis tests on regression functions

Alessio Benavoli, Francesca Mangili

Convex Multi-Task Learning by Clustering

Aviad Barzilai, Koby Crammer

Near-optimal max-affine estimators for convex regression

Gabor Balazs, András György, Csaba Szepesvári

Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees

Stephen Bach, Bert Huang, Lise Getoor

Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures

Martin Azizyan, Aarti Singh, Larry Wasserman

Global Multi-armed Bandits with Hölder Continuity

Onur Atan, Cem Tekin, Mihaela van der Schaar

Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method

David Anderson, Simon Du, Michael Mahoney, Christopher Melgaard, Kunming Wu

Parameter Estimation of Generalized Linear Models without Assuming their Link Function

Sreangsu Acharyya, Joydeep Ghosh

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices

Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou