Papers
Parameter Learning for Log-supermodular Distributions
Tatiana Shpakova, Francis Bach
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations
Behnam Neyshabur, Yuhuai Wu, Ruslan Salakhutdinov et al.
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov, Aizhan Ibraimova, Dmitry P Vetrov et al.
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
Xinchen Yan, Jimei Yang, Ersin Yumer et al.
Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games
Sougata Chaudhuri, Ambuj Tewari
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Daniel Neil, Michael Pfeiffer, Shih-Chii Liu
Poisson-Gamma dynamical systems
Aaron Schein, Hanna Wallach, Mingyuan Zhou
Preference Completion from Partial Rankings
Suriya Gunasekar, Oluwasanmi O Koyejo, Joydeep Ghosh
Privacy Odometers and Filters: Pay-as-you-Go Composition
Ryan M Rogers, Aaron Roth, Jonathan Ullman et al.
Probabilistic Inference with Generating Functions for Poisson Latent Variable Models
Kevin Winner, Daniel R. Sheldon
Probabilistic Linear Multistep Methods
Onur Teymur, Kostas Zygalakis, Ben Calderhead
Probing the Compositionality of Intuitive Functions
Eric Schulz, Josh Tenenbaum, David K. Duvenaud et al.
Professor Forcing: A New Algorithm for Training Recurrent Networks
Alex M Lamb, Anirudh Goyal ALIAS PARTH GOYAL, Ying Zhang et al.
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images
Vladimir Golkov, Marcin J Skwark, Antonij Golkov et al.
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent
Chi Jin, Sham M. Kakade, Praneeth Netrapalli
Proximal Deep Structured Models
Shenlong Wang, Sanja Fidler, Raquel Urtasun
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
Sashank J. Reddi, Suvrit Sra, Barnabas Poczos et al.
Pruning Random Forests for Prediction on a Budget
Feng Nan, Joseph Wang, Venkatesh Saligrama
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity
Ping Li, Michael Mitzenmacher, Martin Slawski
Quantum Perceptron Models
Ashish Kapoor, Nathan Wiebe, Krysta Svore
Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates
Yuanzhi Li, Yingyu Liang, Andrej Risteski
Refined Lower Bounds for Adversarial Bandits
Sébastien Gerchinovitz, Tor Lattimore
Regret Bounds for Non-decomposable Metrics with Missing Labels
Nagarajan Natarajan, Prateek Jain
Regret of Queueing Bandits
Subhashini Krishnasamy, Rajat Sen, Ramesh Johari et al.