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

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably) ICML 2022 Modality-specific Learning Rates for Effective Multimodal Additive Late-fusion ACL 2022 Mode estimation on matrix manifolds: Convergence and robustness AISTATS 2022 Model-agnostic out-of-distribution detection using combined statistical tests AISTATS 2022 Model Agnostic Sample Reweighting for Out-of-Distribution Learning ICML 2022 Model Averaging Is Asymptotically Better Than Model Selection For Prediction JMLR 2022 Model-based Lifelong Reinforcement Learning with Bayesian Exploration NeurIPS 2022 Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief NeurIPS 2022 Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity NeurIPS 2022 Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems EMNLP 2022 Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers AAAI 2022 Model-Free Opponent Shaping ICML 2022 Model-free Policy Learning with Reward Gradients AISTATS 2022 Modeling Aleatoric Uncertainty for Camouflaged Object Detection WACV 2022 Modeling Attrition in Recommender Systems with Departing Bandits AAAI 2022 Modeling extremes with d-max-decreasing neural networks UAI 2022 Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity NAACL 2022 Modeling Irregular Time Series with Continuous Recurrent Units ICML 2022 Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field EMNLP 2022 Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture Models ACL 2022 Modeling the Machine Learning Multiverse NeurIPS 2022 Modelling Non-Smooth Signals with Complex Spectral Structure AISTATS 2022 Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach IJCAI 2022 Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time ICML 2022 Model Zoo: A Growing Brain That Learns Continually ICLR 2022