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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Discriminator optimal transport NeurIPS 2019 Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices IJCAI 2019 Distributed estimation of the inverse Hessian by determinantal averaging NeurIPS 2019 Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019 Distributed Learning with Sublinear Communication ICML 2019 Distributed Low-rank Matrix Factorization With Exact Consensus NeurIPS 2019 Distributed PageRank Computation: An Improved Theoretical Study AAAI 2019 Distributed Weighted Matching via Randomized Composable Coresets ICML 2019 Distributionally Robust Submodular Maximization AISTATS 2019 Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards NeurIPS 2019 Don't take it lightly: Phasing optical random projections with unknown operators NeurIPS 2019 Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering CVPR 2019 Double Quantization for Communication-Efficient Distributed Optimization NeurIPS 2019 DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression ICML 2019 Doubly-Competitive Distribution Estimation ICML 2019 DPPy: DPP Sampling with Python JMLR 2019 DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization JMLR 2019 dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network Packet Traces NSDI 2019 Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication ICML 2019 Dying Experts: Efficient Algorithms with Optimal Regret Bounds NeurIPS 2019 Dynamic Contracting under Positive Commitment AAAI 2019 Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions NeurIPS 2019 Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem ICML 2019 Dynamic Pricing in High-dimensions JMLR 2019 Dynamic Vehicle Traffic Control Using Deep Reinforcement Learning in Automated Material Handling System AAAI 2019