Papers
8,340 papers found
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit
Jie Shen, Ping Li, Huan Xu
Online Stochastic Linear Optimization under One-bit Feedback
Lijun Zhang, Tianbao Yang, Rong Jin et al.
On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search
Piyush Khandelwal, Elad Liebman, Scott Niekum et al.
On the Consistency of Feature Selection With Lasso for Non-linear Targets
Yue Zhang, Weihong Guo, Soumya Ray
On the Iteration Complexity of Oblivious First-Order Optimization Algorithms
Yossi Arjevani, Ohad Shamir
On the Power and Limits of Distance-Based Learning
Periklis Papakonstantinou, Jia Xu, Guang Yang
On the Quality of the Initial Basin in Overspecified Neural Networks
Itay Safran, Ohad Shamir
On the Statistical Limits of Convex Relaxations
Zhaoran Wang, Quanquan Gu, Han Liu
Opponent Modeling in Deep Reinforcement Learning
He He, Jordan Boyd-Graber, Kevin Kwok et al.
Optimal Classification with Multivariate Losses
Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar et al.
Optimality of Belief Propagation for Crowdsourced Classification
Jungseul Ok, Sewoong Oh, Jinwoo Shin et al.
PAC learning of Probabilistic Automaton based on the Method of Moments
Hadrien Glaude, Olivier Pietquin
PAC Lower Bounds and Efficient Algorithms for The Max K-Armed Bandit Problem
Yahel David, Nahum Shimkin
Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms
Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai et al.
Parameter Estimation for Generalized Thurstone Choice Models
Milan Vojnovic, Seyoung Yun
Pareto Frontier Learning with Expensive Correlated Objectives
Amar Shah, Zoubin Ghahramani
Partition Functions from Rao-Blackwellized Tempered Sampling
David Carlson, Patrick Stinson, Ari Pakman et al.
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification
Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar et al.
Persistence weighted Gaussian kernel for topological data analysis
Genki Kusano, Yasuaki Hiraoka, Kenji Fukumizu
Persistent RNNs: Stashing Recurrent Weights On-Chip
Greg Diamos, Shubho Sengupta, Bryan Catanzaro et al.
PHOG: Probabilistic Model for Code
Pavol Bielik, Veselin Raychev, Martin Vechev
Pixel Recurrent Neural Networks
Aäron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu
Pliable Rejection Sampling
Akram Erraqabi, Michal Valko, Alexandra Carpentier et al.
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms
Mathieu Blondel, Masakazu Ishihata, Akinori Fujino et al.
Power of Ordered Hypothesis Testing
Lihua Lei, William Fithian