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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
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2000
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Papers (including subtopics)

Submodular + Concave NeurIPS 2021 Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity ICML 2021 Submodular Span, with Applications to Conditional Data Summarization AAAI 2021 Suboptimal coverings for continuous spaces of control tasks L4DC 2021 Sum-product laws and efficient algorithms for imprecise Markov chains UAI 2021 Supervised Tree-Wasserstein Distance ICML 2021 Support Recovery of Sparse Signals from a Mixture of Linear Measurements NeurIPS 2021 Surprisingly Popular Voting Recovers Rankings, Surprisingly! IJCAI 2021 Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information COLT 2021 Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions IJCAI 2021 Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding NeurIPS 2021 Symbolic Search for Oversubscription Planning AAAI 2021 Symmetric Component Caching for Model Counting on Combinatorial Instances AAAI 2021 Symmetric Wasserstein autoencoders UAI 2021 Synchronization of Group-Labelled Multi-Graphs ICCV 2021 Synthesizing Good-Enough Strategies for LTLf Specifications IJCAI 2021 Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls NeurIPS 2021 System Performance as a Function of Calibration Methods, Sample Size and Sampling Variability in Likelihood Ratio-Based Forensic Voice Comparison Interspeech 2021 Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2021 Tango: Declarative Semantics for Multiagent Communication Protocols IJCAI 2021 Task-Optimal Exploration in Linear Dynamical Systems ICML 2021 Teaching the Old Dog New Tricks: Supervised Learning with Constraints AAAI 2021 TenIPS: Inverse Propensity Sampling for Tensor Completion AISTATS 2021 Testing Group Fairness via Optimal Transport Projections ICML 2021 Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification EMNLP 2021