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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)

Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations NeurIPS 2021 A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021 A Gradient Flow Framework For Analyzing Network Pruning ICLR 2021 A Gradient Method for Multilevel Optimization NeurIPS 2021 A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction ICCV 2021 A Hybrid Approximation to the Marginal Likelihood AISTATS 2021 A Hybrid Bandit Framework for Diversified Recommendation AAAI 2021 A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization ICML 2021 AI-Assisted Scientific Data Collection with Iterative Human Feedback AAAI 2021 AI for Social Good: Between My Research and the Real World AAAI 2021 A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021 A kernel two-sample test with selection bias UAI 2021 A Ladder of Causal Distances IJCAI 2021 A Language for Counterfactual Generative Models ICML 2021 A Large-scale Evaluation of Neural Machine Transliteration for Indic Languages EACL 2021 A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning NeurIPS 2021 A Law of Robustness for Two-Layers Neural Networks COLT 2021 A Learning Theoretic Perspective on Local Explainability ICLR 2021 Algorithmic Instabilities of Accelerated Gradient Descent NeurIPS 2021 Algorithmic stability and generalization of an unsupervised feature selection algorithm NeurIPS 2021 AligNarr: Aligning Narratives on Movies ACL 2021 Aligned Structured Sparsity Learning for Efficient Image Super-Resolution NeurIPS 2021 Alignment Attention by Matching Key and Query Distributions NeurIPS 2021 Align, then memorise: the dynamics of learning with feedback alignment ICML 2021