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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
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2000
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Papers (including subtopics)

Low-rank matrix recovery with unknown correspondence UAI 2023 Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence JMLR 2023 MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts AutoML 2023 Machine learning detects terminal singularities NeurIPS 2023 Markov Decision Processes with Time-Varying Geometric Discounting AAAI 2023 Markovian Sliced Wasserstein Distances: Beyond Independent Projections NeurIPS 2023 MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023 Matchings under One-Sided Preferences with Soft Quotas IJCAI 2023 Materialisation-Based Reasoning in DatalogMTL with Bounded Intervals AAAI 2023 Matrix Estimation for Individual Fairness ICML 2023 Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents IJCAI 2023 Maximization of Minimum Weighted Hamming Distance between Set Pairs ACML 2023 Maximizing Influence Spread through a Dynamic Social Network (Student Abstract) AAAI 2023 Maximizing submodular functions under submodular constraints UAI 2023 Maximizing the Probability of Fixation in the Positional Voter Model AAAI 2023 Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits NeurIPS 2023 Maximum Independent Set: Self-Training through Dynamic Programming NeurIPS 2023 Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming ICML 2023 Max Markov Chain IJCAI 2023 Max-Quantile Grouped Infinite-Arm Bandits ALT 2023 Mean Parity Fair Regression in RKHS AISTATS 2023 Mean Payoff Optimization for Systems of Periodic Service and Maintenance IJCAI 2023 Memory-Constrained Algorithms for Convex Optimization NeurIPS 2023 Meta-Learning Adversarial Bandit Algorithms NeurIPS 2023 Meta-learning Control Variates: Variance Reduction with Limited Data UAI 2023