conftrace_

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)

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Papers (including subtopics)

Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima? COLT 2023 Open Problem: Polynomial linearly-convergent method for g-convex optimization? COLT 2023 Operation-Level Early Stopping for Robustifying Differentiable NAS NeurIPS 2023 Operator learning with PCA-Net: upper and lower complexity bounds JMLR 2023 Opinion Optimization in Directed Social Networks AAAI 2023 Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators AAAI 2023 OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution AAAI 2023 Optimal Anytime Coalition Structure Generation Utilizing Compact Solution Space Representation IJCAI 2023 Optimal Arms Identification with Knapsacks ICML 2023 Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023 Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023 Optimal cross-learning for contextual bandits with unknown context distributions NeurIPS 2023 Optimal Decision Diagrams for Classification AAAI 2023 Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression NeurIPS 2023 Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract) AAAI 2023 Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure NeurIPS 2023 Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization NeurIPS 2023 Optimal Learners for Realizable Regression: PAC Learning and Online Learning NeurIPS 2023 Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs ICML 2023 Optimal No-Regret Learning for One-Sided Lipschitz Functions ICML 2023 Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023 Optimal Pathfinding on Weighted Grid Maps AAAI 2023 Optimal Preconditioning and Fisher Adaptive Langevin Sampling NeurIPS 2023 Optimal Pricing Schemes for Identical Items with Time-Sensitive Buyers AAAI 2023 Optimal randomized multilevel Monte Carlo for repeatedly nested expectations ICML 2023