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)

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? NeurIPS 2022 Kernelized multi-graph matching ACML 2022 Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games ICML 2022 Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations JMLR 2022 k-experts - Online Policies and Fundamental Limits AISTATS 2022 Keyphrase Generation via Soft and Hard Semantic Corrections EMNLP 2022 Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation NeurIPS 2022 Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots ICML 2022 KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks COLING 2022 k-Pareto Optimality-Based Sorting with Maximization of Choice AISTATS 2022 Lagrangian manifold Monte Carlo on Monge patches AISTATS 2022 Langevin Monte Carlo for Contextual Bandits ICML 2022 Large Neighborhood Search with Decision Diagrams IJCAI 2022 Large Neighbourhood Search for Anytime MaxSAT Solving IJCAI 2022 Large-Neighbourhood Search for Optimisation in Answer-Set Solving AAAI 2022 Large-Scale Graph Neural Architecture Search ICML 2022 Large-scale Optimization of Partial AUC in a Range of False Positive Rates NeurIPS 2022 Lattice-Based Methods Surpass Sum-of-Squares in Clustering COLT 2022 Lazy and Fast Greedy MAP Inference for Determinantal Point Process NeurIPS 2022 Learning-Augmented Algorithms for Online Linear and Semidefinite Programming NeurIPS 2022 Learning-Augmented Algorithms for Online Steiner Tree AAAI 2022 Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training ICML 2022 Learning Bipartite Graphs: Heavy Tails and Multiple Components NeurIPS 2022 Learning Chaotic Dynamics in Dissipative Systems NeurIPS 2022 Learning Competitive Equilibria in Exchange Economies with Bandit Feedback AISTATS 2022