Papers
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings
Ziv Bar-joseph, Hai-son P. Le
CUR from a Sparse Optimization Viewpoint
Jacob Bien, Ya Xu, Michael W. Mahoney
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication
Guy Isely, Christopher Hillar, Fritz Sommer
Decision Tree for Dynamic and Uncertain Data Streams
Chunquan Liang, Yang Zhang, Qun Song
Decoding Ipsilateral Finger Movements from ECoG Signals in Humans
Yuzong Liu, Mohit Sharma, Charles Gaona et al.
Decomposing Isotonic Regression for Efficiently Solving Large Problems
Ronny Luss, Saharon Rosset, Moni Shahar
Deep Coding Network
Yuanqing Lin, Tong Zhang, Shenghuo Zhu et al.
Dense Message Passing for Sparse Principal Component Analysis
Kevin Sharp, Magnus Rattray
Dependent Indian Buffet Processes
Sinead Williamson, Peter Orbanz, Zoubin Ghahramani
Descent Methods for Tuning Parameter Refinement
Alexander Lorbert, Peter Ramadge
Detecting Weak but Hierarchically-Structured Patterns in Networks
Aarti Singh, Robert Nowak, Robert Calderbank
Deterministic Bayesian inference for the $p*$ model
Haakon Austad, Nial Friel
Deterministic Single-Pass Algorithm for LDA
Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
Philippos Mordohai, Gérard Medioni
Direct Loss Minimization for Structured Prediction
Tamir Hazan, Joseph Keshet, David A. McAllester
Dirichlet Process Mixtures of Generalized Linear Models
Lauren Hannah, David Blei, Warren Powell
Discriminative Clustering by Regularized Information Maximization
Andreas Krause, Pietro Perona, Ryan G. Gomes
Discriminative Topic Segmentation of Text and Speech
Mehryar Mohri, Pedro Moreno, Eugene Weinstein
Distributed Dual Averaging In Networks
Alekh Agarwal, Martin J. Wainwright, John C. Duchi
Distributed Optimization with Pairwise Constraints and its Application to Multi-robot Path Planning
S. Bhattacharya, V. Kumar and M. Likachev
Distributionally Robust Markov Decision Processes
Huan Xu, Shie Mannor
Double Q-learning
Hado V. Hasselt