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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)

Multi-Objective Deep Learning with Adaptive Reference Vectors NeurIPS 2022 Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms ICML 2022 Multi-Proxy Learning from an Entropy Optimization Perspective IJCAI 2022 Multi-robot Task Allocation in the Environment with Functional Tasks IJCAI 2022 Multi-slots Online Matching with High Entropy ICML 2022 Multi-Task Learning as a Bargaining Game ICML 2022 Multi-Tier Platform for Cognizing Massive Electroencephalogram IJCAI 2022 Multi-Unit Auction in Social Networks with Budgets AAAI 2022 Multi-View Mesh Reconstruction With Neural Deferred Shading CVPR 2022 MurTree: Optimal Decision Trees via Dynamic Programming and Search JMLR 2022 Music-to-Dance Generation with Optimal Transport IJCAI 2022 Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games UAI 2022 NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency AAAI 2022 Near Instance Optimal Model Selection for Pure Exploration Linear Bandits AISTATS 2022 Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings NeurIPS 2022 Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022 Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions NeurIPS 2022 Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs NeurIPS 2022 Nearly-Tight Bounds for Testing Histogram Distributions NeurIPS 2022 Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport AISTATS 2022 Near optimal efficient decoding from pooled data COLT 2022 Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization AISTATS 2022 Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits UAI 2022 Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting Rules IJCAI 2022 Negative curvature obstructs acceleration for strongly geodesically convex optimization, even with exact first-order oracles COLT 2022