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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization AISTATS 2021 Learn To Match: Automatic Matching Network Design for Visual Tracking ICCV 2021 Least Square Calibration for Peer Reviews NeurIPS 2021 LeeBERT: Learned Early Exit for BERT with cross-level optimization ACL 2021 Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events CoRL 2021 LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads AISTATS 2021 Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search ACL 2021 Lenient Regret for Multi-Armed Bandits AAAI 2021 LEO: Learning Energy-based Models in Factor Graph Optimization CoRL 2021 Let’s Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework ICML 2021 Leveraged Weighted Loss for Partial Label Learning ICML 2021 Leveraging Good Representations in Linear Contextual Bandits ICML 2021 Leveraging Non-uniformity in First-order Non-convex Optimization ICML 2021 Leveraging probabilistic circuits for nonparametric multi-output regression UAI 2021 Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation NeurIPS 2021 LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021 Librispeech Transducer Model with Internal Language Model Prior Correction Interspeech 2021 Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process ICCV 2021 Lifelong Learning with Branching Experts ACML 2021 Lifelong Learning with Sketched Structural Regularization ACML 2021 Lifelong Multi-Agent Path Finding in Large-Scale Warehouses AAAI 2021 Lifted reasoning meets weighted model integration UAI 2021 Likelihood-Based Diverse Sampling for Trajectory Forecasting ICCV 2021 Limitations of Autoregressive Models and Their Alternatives NAACL 2021 Limitations of Post-Hoc Feature Alignment for Robustness CVPR 2021