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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)

Pareto Prompt Optimization ICLR 2025 Pareto Set Learning for Multi-Objective Reinforcement Learning AAAI 2025 PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Interspeech 2025 Partial and Exact Recovery of a Random Hypergraph from its Graph Projection COLT 2025 Partial Gromov-Wasserstein Metric ICLR 2025 Participatory Budgeting Project Strength via Candidate Control IJCAI 2025 PCR-GS: COLMAP-Free 3D Gaussian Splatting via Pose Co-Regularizations ICCV 2025 Per-Pixel Solution of Multispectral Photometric Stereo WACV 2025 Phase transitions for the existence of unregularized M-estimators in single index models ICML 2025 PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark ICLR 2025 PLeaS - Merging Models with Permutations and Least Squares CVPR 2025 p-Mean Regret for Stochastic Bandits AAAI 2025 Policy Design for Two-sided Platforms with Participation Dynamics ICML 2025 Policy Gradient with Tree Expansion ICML 2025 Policy Iteration for Two-Player General-Sum Stochastic Stackelberg Games ACML 2025 Policy Optimization for CMDPs with Bandit Feedback: Learning Stochastic and Adversarial Constraints ICML 2025 Policy-Regret Minimization in Markov Games with Function Approximation ICML 2025 Polynomial low degree hardness for Broadcasting on Trees (Extended Abstract) COLT 2025 Polynomial Time Learning Augmented Algorithms for NP-hard Permutation Problems ICML 2025 Polynomial-Time Relational Probabilistic Inference in Open Universes IJCAI 2025 Position: Constants are Critical in Regret Bounds for Reinforcement Learning ICML 2025 Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks ICML 2025 Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search ICML 2025 Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs AAAI 2025 Preconditioned Riemannian Gradient Descent Algorithm for Low-Multilinear-Rank Tensor Completion ICML 2025