Mathematics & Optimization

Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees NeurIPS 2019 Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions IJCAI 2019 Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach AAAI 2019 Preferences Single-Peaked on a Tree: Sampling and Tree Recognition IJCAI 2019 Preferred Deals in General Environments IJCAI 2019 Primal-Dual Block Generalized Frank-Wolfe NeurIPS 2019 Priming vs. Inhibition of Optional Infinitival “to” NAACL 2019 Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG NeurIPS 2019 Prior-Free Dynamic Auctions with Low Regret Buyers NeurIPS 2019 Privacy Amplification by Mixing and Diffusion Mechanisms NeurIPS 2019 Private Learning Implies Online Learning: An Efficient Reduction NeurIPS 2019 Private Testing of Distributions via Sample Permutations NeurIPS 2019 Probabilistic Multilevel Clustering via Composite Transportation Distance AISTATS 2019 Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope CVPR 2019 Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning NeurIPS 2019 Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019 Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration NeurIPS 2019 Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling AAAI 2019 Profit-driven Task Assignment in Spatial Crowdsourcing IJCAI 2019 Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm ICCV 2019 Projection-Free Bandit Convex Optimization AISTATS 2019 Projection Free Online Learning over Smooth Sets AISTATS 2019 Projection onto Minkowski Sums with Application to Constrained Learning ICML 2019 Proximal Distance Algorithms: Theory and Practice JMLR 2019 Proximal Splitting Meets Variance Reduction AISTATS 2019