conftrace_

Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

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Papers (including subtopics)

Proofs and Certificates for Max-SAT (Extended Abstract) IJCAI 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 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 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 Quantitative Reasoning and Structural Complexity for Claim-Centric Argumentation IJCAI 2023 Quantum Bayesian Optimization NeurIPS 2023 Quantum Multi-Model Fitting CVPR 2023 Quantum speedups for stochastic optimization NeurIPS 2023 Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling ICML 2023 Quasi-Monte Carlo Graph Random Features NeurIPS 2023 Quasi-Newton Steps for Efficient Online Exp-Concave Optimization COLT 2023