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 minibatch Optimal Transport; applications to Domain Adaptation ICML 2021 Unbalanced Optimal Transport through Non-negative Penalized Linear Regression NeurIPS 2021 Unconstrained MAP Inference, Exponentiated Determinantal Point Processes, and Exponential Inapproximability AISTATS 2021 Understanding Bandits with Graph Feedback NeurIPS 2021 Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization NeurIPS 2021 Unique sparse decomposition of low rank matrices NeurIPS 2021 Unitary Branching Programs: Learnability and Lower Bounds ICML 2021 United for Change: Deliberative Coalition Formation to Change the Status Quo AAAI 2021 Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport AAAI 2021 USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems NeurIPS 2021 Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings EMNLP 2021 Value-at-Risk Optimization with Gaussian Processes ICML 2021 Variance-dependent best arm identification UAI 2021 Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference JMLR 2021 Variance reduction in frequency estimators via control variates method UAI 2021 Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums ICML 2021 Variational Bayesian Optimistic Sampling NeurIPS 2021 Variational Data Assimilation with a Learned Inverse Observation Operator ICML 2021 Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds ACML 2021 Vitality Indices are Equivalent to Induced Game-Theoretic Centralities IJCAI 2021 Vocabulary Learning via Optimal Transport for Neural Machine Translation ACL 2021 vqSGD: Vector Quantized Stochastic Gradient Descent AISTATS 2021 Warm Starting CMA-ES for Hyperparameter Optimization AAAI 2021 Wasserstein Barycenter for Multi-Source Domain Adaptation CVPR 2021 Wasserstein barycenters can be computed in polynomial time in fixed dimension JMLR 2021