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)

Stable Nonconvex-Nonconcave Training via Linear Interpolation NeurIPS 2023 Statistical and Computational Limits for Tensor-on-Tensor Association Detection COLT 2023 Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits NeurIPS 2023 Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression COLT 2023 Statistical Inference and A/B Testing for First-Price Pacing Equilibria ICML 2023 STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games COLT 2023 Stealthy Terrain-Aware Multi-Agent Active Search CoRL 2023 StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation NeurIPS 2023 Stein Π-Importance Sampling NeurIPS 2023 Stochastic Approximation Approaches to Group Distributionally Robust Optimization NeurIPS 2023 Stochastic Causal Programming for Bounding Treatment Effects CLeaR 2023 Stochastic Contextual Bandits with Long Horizon Rewards AAAI 2023 Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis NeurIPS 2023 Stochastic Generative Flow Networks UAI 2023 Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023 Stochastic Gradient Succeeds for Bandits ICML 2023 Stochastic Graphical Bandits with Heavy-Tailed Rewards UAI 2023 Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023 Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk NeurIPS 2023 Stochastic Optimization for Spectral Risk Measures AISTATS 2023 Stochastic Optimization under Distributional Drift JMLR 2023 Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms IJCAI 2023 Strategic Apple Tasting NeurIPS 2023 Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation NeurIPS 2023 Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows NeurIPS 2023