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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)

Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget NeurIPS 2022 Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization NeurIPS 2022 Fine-grained Complexity of Partial Minimum Satisfiability IJCAI 2022 Finite Entailment of Local Queries in the Z Family of Description Logics AAAI 2022 Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning AISTATS 2022 Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022 Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games NeurIPS 2022 Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits NeurIPS 2022 First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces NeurIPS 2022 First-Order Convex Fitting and Its Application to Economics and Optimization AAAI 2022 First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach ICML 2022 Fixation Maximization in the Positional Moran Process AAAI 2022 Fixed-Budget Best-Arm Identification in Structured Bandits IJCAI 2022 Fixed-Distance Hamiltonian Monte Carlo NeurIPS 2022 Fixed Support Tree-Sliced Wasserstein Barycenter AISTATS 2022 Fixing Knockout Tournaments With Seeds IJCAI 2022 FLS: A New Local Search Algorithm for K-means with Smaller Search Space IJCAI 2022 Forgiving Debt in Financial Network Games IJCAI 2022 Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games AISTATS 2022 FourierFormer: Transformer Meets Generalized Fourier Integral Theorem NeurIPS 2022 Fourier Learning with Cyclical Data ICML 2022 Fourier Representations for Black-Box Optimization over Categorical Variables AAAI 2022 Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator NeurIPS 2022 From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent NeurIPS 2022 From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization COLT 2022