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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
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2000
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Papers (including subtopics)

Solving Minimum-Cost Reach Avoid using Reinforcement Learning NeurIPS 2024 Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization AAAI 2024 Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees AAAI 2024 Solving Sparse \& High-Dimensional-Output Regression via Compression NeurIPS 2024 Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NeurIPS 2024 SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024 Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation NeurIPS 2024 SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity ICML 2024 Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NeurIPS 2024 Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NeurIPS 2024 SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NeurIPS 2024 Sparse Bayesian Generative Modeling for Compressive Sensing NeurIPS 2024 Sparse Dimensionality Reduction Revisited ICML 2024 Sparse NMF with Archetypal Regularization: Computational and Robustness Properties JMLR 2024 Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach JMLR 2024 Sparse Variational Student-t Processes AAAI 2024 Sparsistency for inverse optimal transport ICLR 2024 Sparsity-Agnostic Linear Bandits with Adaptive Adversaries NeurIPS 2024 Spatial meshing for general Bayesian multivariate models JMLR 2024 Spatial Voting with Incomplete Voter Information AAAI 2024 Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models ICML 2024 Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions ICML 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024 Speeding up NAS with Adaptive Subset Selection AutoML 2024