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)

Learning-Rate-Free Learning by D-Adaptation ICML 2023 Learning Rate Free Sampling in Constrained Domains NeurIPS 2023 Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023 Learning Regularized Monotone Graphon Mean-Field Games NeurIPS 2023 Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers AAAI 2023 Learning Sparse Graphon Mean Field Games AISTATS 2023 Learning Sparse Group Models Through Boolean Relaxation ICLR 2023 Learning the Efficient Frontier NeurIPS 2023 Learning to Bid in Repeated First-Price Auctions with Budgets ICML 2023 Learning to Break Symmetries for Efficient Optimization in Answer Set Programming AAAI 2023 Learning to Configure Separators in Branch-and-Cut NeurIPS 2023 Learning To Dive In Branch And Bound NeurIPS 2023 Learning to Generate Columns with Application to Vertex Coloring ICLR 2023 Learning to Optimize with Stochastic Dominance Constraints AISTATS 2023 Learning to Rank under Multinomial Logit Choice JMLR 2023 Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt NeurIPS 2023 Learning When to Use Automatic Tabulation in Constraint Model Reformulation IJCAI 2023 Least Squares Model Averaging for Distributed Data JMLR 2023 Legal Argument Extraction from Court Judgements using Integer Linear Programming EMNLP 2023 Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets NeurIPS 2023 Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression NeurIPS 2023 Levin Tree Search with Context Models IJCAI 2023 Lifted Inference with Linear Order Axiom AAAI 2023 Lifting (D)QBF Preprocessing and Solving Techniques to (D)SSAT AAAI 2023 Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare IJCAI 2023