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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
1,353
1,441
2000
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Papers (including subtopics)

Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise JMLR 2020 Estimating Reachable Sets with Scenario Optimization L4DC 2020 Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms AAAI 2020 Estimating the Error of Randomized Newton Methods: A Bootstrap Approach ICML 2020 Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions NeurIPS 2020 Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to Noise IJCAI 2020 Evaluating Committees for Representative Democracies: the Distortion and Beyond IJCAI 2020 Evaluating Natural Language Generation via Unbalanced Optimal Transport IJCAI 2020 Evolutionary Topology Search for Tensor Network Decomposition ICML 2020 Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm AAAI 2020 Experimental Design for Optimization of Orthogonal Projection Pursuit Models AAAI 2020 Explicit Gradient Learning for Black-Box Optimization ICML 2020 Exploiting Conic Affinity Measures to Design Speech Enhancement Systems Operating in Unseen Noise Conditions Interspeech 2020 Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits NeurIPS 2020 Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint L4DC 2020 Exploration by Optimisation in Partial Monitoring COLT 2020 Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits ICML 2020 Exploratory Combinatorial Optimization with Reinforcement Learning AAAI 2020 Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling NeurIPS 2020 Exponentiated Gradient Meets Gradient Descent ALT 2020 Extended Conjunctive Normal Form and An Efficient Algorithm for Cardinality Constraints IJCAI 2020 Extrapolating the profile of a finite population COLT 2020 Eyes-Closed Safety Kernels: Safety of Autonomous Systems Under Loss of Observability RSS 2020 Facility Location Problem with Capacity Constraints: Algorithmic and Mechanism Design Perspectives AAAI 2020 Fair Division: The Computer Scientist’s Perspective IJCAI 2020