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Mathematics & Optimization

19,283 papers (0 classified directly here)

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Papers (including subtopics)

Projection-free Online Exp-concave Optimization COLT 2023 Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property ICLR 2023 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning ICML 2023 Proofs and Certificates for Max-SAT (Extended Abstract) IJCAI 2023 Properties of Position Matrices and Their Elections AAAI 2023 Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist ICML 2023 Proportionality in Approval-Based Participatory Budgeting AAAI 2023 Proportionally Fair Online Allocation of Public Goods with Predictions IJCAI 2023 ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics NeurIPS 2023 PROTES: Probabilistic Optimization with Tensor Sampling NeurIPS 2023 Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More NeurIPS 2023 Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond NeurIPS 2023 Provable benefits of score matching NeurIPS 2023 Provable Reset-free Reinforcement Learning by No-Regret Reduction ICML 2023 Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NeurIPS 2023 Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023 Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization AAAI 2023 ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies AAAI 2023 PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization AutoML 2023 Pseudonorm Approachability and Applications to Regret Minimization ALT 2023 Python package for causal discovery based on LiNGAM JMLR 2023 qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023 q-Learning in Continuous Time JMLR 2023 QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning NeurIPS 2023 Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal COLT 2023