Optimization

Pathwise Derivatives for Multivariate Distributions AISTATS 2019 PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review ALT 2019 Performance Metric Elicitation from Pairwise Classifier Comparisons AISTATS 2019 Personalizing Many Decisions with High-Dimensional Covariates NeurIPS 2019 Photon-Flooded Single-Photon 3D Cameras CVPR 2019 Piecewise Strong Convexity of Neural Networks NeurIPS 2019 Plug-and-Play Methods Provably Converge with Properly Trained Denoisers ICML 2019 PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet CVPR 2019 Polarimetric Camera Calibration Using an LCD Monitor CVPR 2019 Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games NeurIPS 2019 Policy Poisoning in Batch Reinforcement Learning and Control NeurIPS 2019 Polynomial Cost of Adaptation for X-Armed Bandits NeurIPS 2019 Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics AAAI 2019 PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization NeurIPS 2019 Practical Two-Step Lookahead Bayesian Optimization NeurIPS 2019 Preconditioner on Matrix Lie Group for SGD ICLR 2019 Preferred Deals in General Environments IJCAI 2019 Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks NeurIPS 2019 Primal-Dual Block Generalized Frank-Wolfe NeurIPS 2019 Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NeurIPS 2019 Private Stochastic Convex Optimization with Optimal Rates NeurIPS 2019 Probabilistic Forecasting with Spline Quantile Function RNNs AISTATS 2019 Probabilistic Multilevel Clustering via Composite Transportation Distance AISTATS 2019 Probabilistic Permutation Invariant Training for Speech Separation Interspeech 2019 Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019