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)

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024 Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework COLT 2024 Stochastic-Constrained Stochastic Optimization with Markovian Data JMLR 2024 Stochastic contextual bandits with graph feedback: from independence number to MAS number NeurIPS 2024 Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements NeurIPS 2024 Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024 Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases AISTATS 2024 Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features ICML 2024 Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024 Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays AISTATS 2024 Stochastic Newton Proximal Extragradient Method NeurIPS 2024 Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise NeurIPS 2024 Stochastic Optimal Control for Diffusion Bridges in Function Spaces NeurIPS 2024 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NeurIPS 2024 Stochastic Optimization with Arbitrary Recurrent Data Sampling ICML 2024 Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions ICML 2024 Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates JMLR 2024 Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization AISTATS 2024 Stochastic Weakly Convex Optimization beyond Lipschitz Continuity ICML 2024 Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity NeurIPS 2024 Stopping Bayesian Optimization with Probabilistic Regret Bounds NeurIPS 2024 Strategic Aspects of Stable Matching Markets: A Survey IJCAI 2024 Strategic Linear Contextual Bandits NeurIPS 2024 Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract) AAAI 2024