Papers
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
Preconditioning Kernel Matrices
Kurt Cutajar, Michael Osborne, John Cunningham et al.
Predictive Entropy Search for Multi-objective Bayesian Optimization
Daniel Hernandez-Lobato, Jose Hernandez-Lobato, Amar Shah et al.
Pricing a Low-regret Seller
Hoda Heidari, Mohammad Mahdian, Umar Syed et al.
Primal-Dual Rates and Certificates
Celestine Dünner, Simone Forte, Martin Takac et al.
Principal Component Projection Without Principal Component Analysis
Roy Frostig, Cameron Musco, Christopher Musco et al.
Provable Algorithms for Inference in Topic Models
Sanjeev Arora, Rong Ge, Frederic Koehler et al.
Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow
Huishuai Zhang, Yuejie Chi, Yingbin Liang
Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods
Huikang Liu, Weijie Wu, Anthony Man-Cho So
Recommendations as Treatments: Debiasing Learning and Evaluation
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh et al.