Papers
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 et al.
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 Szepesvari
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 et al.
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
Largest Source Subset Selection for Instance Transfer
Shuang Zhou, Gijs Schoenmakers, Evgueni Smirnov et al.
One-Pass Multi-View Learning
Yue Zhu, Wei Gao, Zhi-Hua Zhou
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models
Adepu Ravi Sankar, Vineeth N Balasubramanian
Autoencoder Trees
Ozan İrsoy, Ethem Alpaydin