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 to Identify Top Elo Ratings: A Dueling Bandits Approach AAAI 2022 Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback AISTATS 2022 Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information L4DC 2022 Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification NeurIPS 2022 Learning to Search in Local Branching AAAI 2022 Learning To Solve Hard Minimal Problems CVPR 2022 Learning to Solve PDE-constrained Inverse Problems with Graph Networks ICML 2022 Learning to Solve Routing Problems via Distributionally Robust Optimization AAAI 2022 Learning with Interactive Models over Decision-Dependent Distributions ACML 2022 Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets NeurIPS 2022 Least Squares Estimation using Sketched Data with Heteroskedastic Errors ICML 2022 Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence JMLR 2022 Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time ICML 2022 Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions NeurIPS 2022 Lexicographic Multi-Objective Reinforcement Learning IJCAI 2022 Lifted Division for Lifted Hugin Belief Propagation AISTATS 2022 Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization AISTATS 2022 Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent ICML 2022 Linear Bandit Algorithms with Sublinear Time Complexity ICML 2022 Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs ICML 2022 Lipschitz Bandits with Batched Feedback NeurIPS 2022 LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking CVPR 2022 Local and Global Convergence of General Burer-Monteiro Tensor Optimizations AAAI 2022 Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems AAAI 2022 Local Bayesian optimization via maximizing probability of descent NeurIPS 2022