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

2

6

6

5

16

67

72

80

102

133

171

219

398

425

440

487

649

812

1,162

1,353

1,487

1,474

1,600

1,870

1,441

372

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Unbalanced Optimal Transport for Unbalanced Word Alignment ACL 2023 Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? NeurIPS 2023 Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo NeurIPS 2023 Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC JMLR 2023 Uncertain Pose Estimation during Contact Tasks using Differentiable Contact Features RSS 2023 Unconstrained Dynamic Regret via Sparse Coding NeurIPS 2023 Unconstrained Online Learning with Unbounded Losses ICML 2023 Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback NeurIPS 2023 Uncovering the Largest Community in Social Networks at Scale IJCAI 2023 Understanding the impact of host networking elements on traffic bursts NSDI 2023 Understanding the Role of Feedback in Online Learning with Switching Costs ICML 2023 Unexpected Improvements to Expected Improvement for Bayesian Optimization NeurIPS 2023 Unifying Core-Guided and Implicit Hitting Set Based Optimization IJCAI 2023 Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions ICML 2023 Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization NeurIPS 2023 Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets COLT 2023 Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach NeurIPS 2023 Unlocking unallocated cloud capacity for long, uninterruptible workloads NSDI 2023 Unsupervised Learning for Solving the Travelling Salesman Problem NeurIPS 2023 Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023 User-Controllable Arbitrary Style Transfer via Entropy Regularization AAAI 2023 User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023 Utilitarian Algorithm Configuration NeurIPS 2023 Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising AAAI 2023 Validation of composite systems by discrepancy propagation UAI 2023