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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)

Papers per year

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16
133
440
1,353
1,441
2000
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Papers (including subtopics)

Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions AISTATS 2023 Beyond Spectral Gap: The Role of the Topology in Decentralized Learning JMLR 2023 Beyond the Golden Ratio for Variational Inequality Algorithms JMLR 2023 Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD COLT 2023 Bicriteria Approximation Algorithms for the Submodular Cover Problem NeurIPS 2023 Bicriteria Multidimensional Mechanism Design with Side Information NeurIPS 2023 Bidding Graph Games with Partially-Observable Budgets AAAI 2023 Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm NeurIPS 2023 Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond IJCAI 2023 Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training ACL 2023 Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start JMLR 2023 Bilevel Optimization with Coupled Decision-Dependent Distributions ICML 2023 Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning AAAI 2023 BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization NeurIPS 2023 Blackbox optimization of unimodal functions UAI 2023 Blending Advertising with Organic Content in E-commerce via Virtual Bids AAAI 2023 Block Broyden's Methods for Solving Nonlinear Equations NeurIPS 2023 Block-Coordinate Methods and Restarting for Solving Extensive-Form Games NeurIPS 2023 Block Coordinate Plug-and-Play Methods for Blind Inverse Problems NeurIPS 2023 Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints NeurIPS 2023 Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization NeurIPS 2023 Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures ICML 2023 Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization ICML 2023 Blossom: an Anytime Algorithm for Computing Optimal Decision Trees ICML 2023 Boosting Causal Discovery via Adaptive Sample Reweighting ICLR 2023