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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)

Look-ahead Meta Learning for Continual Learning NeurIPS 2020 Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization JMLR 2020 Loss Function Search for Face Recognition ICML 2020 Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020 Lower Bounds and Faster Algorithms for Equality Constraints IJCAI 2020 Lower Bounds and Optimal Algorithms for Personalized Federated Learning NeurIPS 2020 Lower Bounds for Approximate Knowledge Compilation IJCAI 2020 Lower Bounds for Learning Distributions under Communication Constraints via Fisher Information JMLR 2020 Lower Bounds for Parallel and Randomized Convex Optimization JMLR 2020 Lower Bounds for Testing Graphical Models: Colorings and Antiferromagnetic Ising Models JMLR 2020 Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems ICML 2020 Low-loss connection of weight vectors: distribution-based approaches ICML 2020 Low-Rank Bottleneck in Multi-head Attention Models ICML 2020 Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer CVPR 2020 Low-rank regularization and solution uniqueness in over-parameterized matrix sensing AISTATS 2020 Low Resource Sequence Tagging with Weak Labels AAAI 2020 Low-Variance and Zero-Variance Baselines for Extensive-Form Games ICML 2020 Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020 LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks IJCAI 2020 LSM: Learning Subspace Minimization for Low-Level Vision CVPR 2020 LVCSR with Transformer Language Models Interspeech 2020 MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius ICLR 2020 MAGSAC++, a Fast, Reliable and Accurate Robust Estimator CVPR 2020 Making Non-Stochastic Control (Almost) as Easy as Stochastic NeurIPS 2020 Making Sense of Reinforcement Learning and Probabilistic Inference ICLR 2020