Papers
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
Chengtao Li, Suvrit Sra, Stefanie Jegelka
PAC-Bayesian Theory Meets Bayesian Inference
Pascal Germain, Francis Bach, Alexandre Lacoste et al.
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Bo Li, Yining Wang, Aarti Singh et al.
Reshaped Wirtinger Flow for Solving Quadratic System of Equations
Huishuai Zhang, Yingbin Liang
Learning feed-forward one-shot learners
Luca Bertinetto, João F. Henriques, Jack Valmadre et al.
Crowdsourced Clustering: Querying Edges vs Triangles
Ramya Korlakai Vinayak, Babak Hassibi
Unsupervised Learning of Spoken Language with Visual Context
David Harwath, Antonio Torralba, James Glass
Mixed Linear Regression with Multiple Components
Kai Zhong, Prateek Jain, Inderjit S Dhillon
Linear Feature Encoding for Reinforcement Learning
Zhao Song, Ronald E Parr, Xuejun Liao et al.
Causal meets Submodular: Subset Selection with Directed Information
Yuxun Zhou, Costas J Spanos
Maximization of Approximately Submodular Functions
Thibaut Horel, Yaron Singer
Convergence guarantees for kernel-based quadrature rules in misspecified settings
Motonobu Kanagawa, Bharath K. Sriperumbudur, Kenji Fukumizu
Poisson-Gamma dynamical systems
Aaron Schein, Hanna Wallach, Mingyuan Zhou
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
Michalis Titsias RC AUEB
Tree-Structured Reinforcement Learning for Sequential Object Localization
Zequn Jie, Xiaodan Liang, Jiashi Feng et al.
Robust k-means: a Theoretical Revisit
ALEXANDROS GEORGOGIANNIS
Structured Matrix Recovery via the Generalized Dantzig Selector
Sheng Chen, Arindam Banerjee
Adaptive optimal training of animal behavior
Ji Hyun Bak, Jung Yoon Choi, Athena Akrami et al.
Deep Submodular Functions: Definitions and Learning
Brian W Dolhansky, Jeff A. Bilmes
Matrix Completion has No Spurious Local Minimum
Rong Ge, Jason Lee, Tengyu Ma
Learning Bound for Parameter Transfer Learning
Wataru Kumagai
Variational Information Maximization for Feature Selection
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Multivariate tests of association based on univariate tests
Ruth Heller, Yair Heller
Online and Differentially-Private Tensor Decomposition
Yining Wang, Anima Anandkumar
Deep Learning for Predicting Human Strategic Behavior
Jason S Hartford, James R Wright, Kevin Leyton-Brown