Papers
Non-convex Statistical Optimization for Sparse Tensor Graphical Model
Wei Sun, Zhaoran Wang, Han Liu et al.
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations
Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabas Poczos et al.
No-Regret Learning in Bayesian Games
Jason Hartline, Vasilis Syrgkanis, Eva Tardos
On Elicitation Complexity
Rafael Frongillo, Ian Kash
Online F-Measure Optimization
Róbert Busa-Fekete, Balázs Szörényi, Krzysztof Dembczynski et al.
Online Gradient Boosting
Alina Beygelzimer, Elad Hazan, Satyen Kale et al.
Online Learning for Adversaries with Memory: Price of Past Mistakes
Oren Anava, Elad Hazan, Shie Mannor
Online Learning with Adversarial Delays
Kent Quanrud, Daniel Khashabi
Online Learning with Gaussian Payoffs and Side Observations
Yifan Wu, András György, Csaba Szepesvari
Online Prediction at the Limit of Zero Temperature
Mark Herbster, Stephen Pasteris, Shaona Ghosh
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach
Balázs Szörényi, Róbert Busa-Fekete, Adil Paul et al.
On some provably correct cases of variational inference for topic models
Pranjal Awasthi, Andrej Risteski
On the Accuracy of Self-Normalized Log-Linear Models
Jacob Andreas, Maxim Rabinovich, Michael I Jordan et al.
On the consistency theory of high dimensional variable screening
Xiangyu Wang, Chenlei Leng, David B Dunson
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen, Nan Ding, Lawrence Carin
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien, Martin Jaggi
On-the-Job Learning with Bayesian Decision Theory
Keenon Werling, Arun Tejasvi Chaganty, Percy Liang et al.
On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors
Andrea Montanari, Daniel Reichman, Ofer Zeitouni
On the Optimality of Classifier Chain for Multi-label Classification
Weiwei Liu, Ivor Tsang
On the Pseudo-Dimension of Nearly Optimal Auctions
Jamie H Morgenstern, Tim Roughgarden
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs
Wei Cao, Jian Li, Yufei Tao et al.
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra et al.
Optimal Linear Estimation under Unknown Nonlinear Transform
Xinyang Yi, Zhaoran Wang, Constantine Caramanis et al.
Optimal Rates for Random Fourier Features
Bharath Sriperumbudur, Zoltan Szabo
Optimal Ridge Detection using Coverage Risk
Yen-Chi Chen, Christopher R Genovese, Shirley Ho et al.