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)

Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms NeurIPS 2020 Leverage Score Sampling for Faster Accelerated Regression and ERM ALT 2020 Lifted Disjoint Paths with Application in Multiple Object Tracking ICML 2020 Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems AAAI 2020 Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of Sets AAAI 2020 Linear Bandits with Feature Feedback AAAI 2020 Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming ICML 2020 Linear Lower Bounds and Conditioning of Differentiable Games ICML 2020 Linearly Convergent Frank-Wolfe with Backtracking Line-Search AISTATS 2020 Linear-Sample Learning of Low-Rank Distributions NeurIPS 2020 Linear Time Sinkhorn Divergences using Positive Features NeurIPS 2020 Lipschitz and Comparator-Norm Adaptivity in Online Learning COLT 2020 List Decodable Subspace Recovery COLT 2020 Locally Accelerated Conditional Gradients AISTATS 2020 Locally-Adaptive Nonparametric Online Learning NeurIPS 2020 (Locally) Differentially Private Combinatorial Semi-Bandits ICML 2020 Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings CVPR 2020 Local Search with Dynamic-Threshold Configuration Checking and Incremental Neighborhood Updating for Maximum k-plex Problem AAAI 2020 Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently ICML 2020 Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo COLT 2020 Low-Dimensional Hyperbolic Knowledge Graph Embeddings ACL 2020 Lower Bounds and Faster Algorithms for Equality Constraints IJCAI 2020 Lower Bounds for Approximate Knowledge Compilation IJCAI 2020 Lower Bounds for Parallel and Randomized Convex Optimization JMLR 2020 Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems ICML 2020