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)

WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives IJCAI 2024 Your contrastive learning problem is secretly a distribution alignment problem NeurIPS 2024 Zero-Shot Transfer of Neural ODEs NeurIPS 2024 Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing AAAI 2024 Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization ICML 2024 Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NeurIPS 2024 Zeroth-order Stochastic Approximation Algorithms for DR-submodular Optimization JMLR 2024 (ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits COLT 2024 ℓ_p-Regression in the Arbitrary Partition Model of Communication COLT 2023 A^2CiD^2: Accelerating Asynchronous Communication in Decentralized Deep Learning NeurIPS 2023 ε-fractional core stability in Hedonic Games. NeurIPS 2023 2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression NeurIPS 2023 3D molecule generation by denoising voxel grids NeurIPS 2023 A Batch-to-Online Transformation under Random-Order Model NeurIPS 2023 A Bayesian approach for bandit online optimization with switching cost UAI 2023 A Bitwise GAC Algorithm for Alldifferent Constraints IJCAI 2023 A Blackbox Approach to Best of Both Worlds in Bandits and Beyond COLT 2023 A Bregman Divergence View on the Difference-of-Convex Algorithm AISTATS 2023 Abstracting Imperfect Information Away from Two-Player Zero-Sum Games ICML 2023 A Case of Exponential Convergence Rates for SVM AISTATS 2023 Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond COLT 2023 Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization ICML 2023 Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023 Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems ICML 2023 Accelerated Primal-Dual Mirror Dynamics for Centralized and Distributed Constrained Convex Optimization Problems JMLR 2023