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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)

Life after BERT: What do Other Muppets Understand about Language? ACL 2022 Lifted Division for Lifted Hugin Belief Propagation AISTATS 2022 Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits NeurIPS 2022 Lifting Weak Supervision To Structured Prediction NeurIPS 2022 LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation EMNLP 2022 Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent ICML 2022 Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory ICLR 2022 LinCDE: Conditional Density Estimation via Lindsey's Method JMLR 2022 Linear Combinatorial Semi-Bandit with Causally Related Rewards IJCAI 2022 Linear Complexity Randomized Self-attention Mechanism ICML 2022 Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness ICML 2022 Linearizing Transformer with Key-Value Memory EMNLP 2022 Linear Label Ranking with Bounded Noise NeurIPS 2022 Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs ICML 2022 Lipschitz Bandits with Batched Feedback NeurIPS 2022 Lipschitz-constrained Unsupervised Skill Discovery ICLR 2022 List-Decodable Sparse Mean Estimation NeurIPS 2022 List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering NeurIPS 2022 Listwise Learning to Rank Based on Approximate Rank Indicators AAAI 2022 LittleBird: Efficient Faster & Longer Transformer for Question Answering EMNLP 2022 LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NeurIPS 2022 Local and Global Convergence of General Burer-Monteiro Tensor Optimizations AAAI 2022 Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems AAAI 2022 Local Bayesian optimization via maximizing probability of descent NeurIPS 2022 Local Constraint-Based Causal Discovery under Selection Bias CLeaR 2022