Skip to content
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)

Papers per year

1
16
133
440
1,353
1,441
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Rethinking Word-level Adversarial Attack: The Trade-off between Efficiency, Effectiveness, and Imperceptibility COLING 2024 RetroBridge: Modeling Retrosynthesis with Markov Bridges ICLR 2024 Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference NeurIPS 2024 Revisiting Convergence of AdaGrad with Relaxed Assumptions UAI 2024 Revisiting Global Translation Estimation with Feature Tracks CVPR 2024 Revisiting Sampson Approximations for Geometric Estimation Problems CVPR 2024 Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods ICLR 2024 Rhythm Inference Helping Writing Music Scores IJCAI 2024 Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity ICML 2024 Riemannian coordinate descent algorithms on matrix manifolds ICML 2024 Risk Estimation in a Markov Cost Process: Lower and Upper Bounds ICML 2024 Risk Measures and Upper Probabilities: Coherence and Stratification JMLR 2024 Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024 Risk-Sensitive Online Algorithms (Extended Abstract) COLT 2024 RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model AISTATS 2024 Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications NeurIPS 2024 Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective AAAI 2024 Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning JMLR 2024 Robust Blind Text Image Deblurring via Maximum Consensus Framework AAAI 2024 Robust Data-driven Prescriptiveness Optimization ICML 2024 Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract) COLT 2024 Robust Entropy Search for Safe Efficient Bayesian Optimization UAI 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Robust Losses for Decision-Focused Learning IJCAI 2024 Robustly Learning Single-Index Models via Alignment Sharpness ICML 2024