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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)

Papers per year

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16
133
440
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2000
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Papers (including subtopics)

Combating Collusion Rings Is Hard but Possible AAAI 2022 Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness NeurIPS 2022 Combinatorial Bayesian optimization with random mapping functions to convex polytopes UAI 2022 Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract) IJCAI 2022 Combining Constraint Solving and Bayesian Techniques for System Optimization IJCAI 2022 Combining (Second-Order) Graph-Based and Headed-Span-Based Projective Dependency Parsing ACL 2022 Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox NeurIPS 2022 Competitive Analysis for Multi-Commodity Ski-Rental Problem IJCAI 2022 Compilation of Aggregates in ASP Systems AAAI 2022 Complete Policy Regret Bounds for Tallying Bandits COLT 2022 Complex Momentum for Optimization in Games AISTATS 2022 Compressible-composable NeRF via Rank-residual Decomposition NeurIPS 2022 Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs NeurIPS 2022 Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study AAAI 2022 Computing Wasserstein-p Distance Between Images With Linear Cost CVPR 2022 Conditional Gradients for the Approximately Vanishing Ideal AISTATS 2022 Conditional Loss and Deep Euler Scheme for Time Series Generation AAAI 2022 Confident Approximate Policy Iteration for Efficient Local Planning in q^π-realizable MDPs NeurIPS 2022 Conflict-Based Steiner Search for Multi-Agent Combinatorial Path Finding RSS 2022 Conformal Frequency Estimation with Sketched Data NeurIPS 2022 Congested Bandits: Optimal Routing via Short-term Resets ICML 2022 Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures ICML 2022 CoNSoLe: Convex Neural Symbolic Learning NeurIPS 2022 Constrained Discrete Black-Box Optimization using Mixed-Integer Programming ICML 2022 Constrained Langevin Algorithms with L-mixing External Random Variables NeurIPS 2022