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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
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828
3,646
5,854
2000
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Papers (including subtopics)

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? NeurIPS 2022 Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence JMLR 2022 KernelGPA: A Deformable SLAM Back-end RSS 2022 Kernel interpolation in Sobolev spaces is not consistent in low dimensions COLT 2022 Kernel Interpolation with Sparse Grids NeurIPS 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 Kernel Partial Correlation Coefficient --- a Measure of Conditional Dependence 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 KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models EMNLP 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 KL Guided Domain Adaptation ICLR 2022 KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints JMLR 2022 KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks COLING 2022 Knowledge-Aware Bayesian Deep Topic Model NeurIPS 2022 Knowledge Distillation: Bad Models Can Be Good Role Models NeurIPS 2022 Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search EMNLP 2022 Knowledge Distillation via Constrained Variational Inference AAAI 2022 Knowledge Distillation via the Target-Aware Transformer CVPR 2022 Knowledge Graph Embedding by Adaptive Limit Scoring Loss Using Dynamic Weighting Strategy ACL 2022 Knowledge Removal in Sampling-based Bayesian Inference ICLR 2022 KOALA: A Kalman Optimization Algorithm with Loss Adaptivity AAAI 2022 k-Rater Reliability: The Correct Unit of Reliability for Aggregated Human Annotations ACL 2022