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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)

Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models ICML 2022 Universality of empirical risk minimization COLT 2022 Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups NeurIPS 2022 Universality of Winning Tickets: A Renormalization Group Perspective ICML 2022 Universalizing Weak Supervision ICLR 2022 Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows ICML 2022 Universally Consistent Online Learning with Arbitrarily Dependent Responses ALT 2022 Universal Online Learning: an Optimistically Universal Learning Rule COLT 2022 Universal Online Learning with Bounded Loss: Reduction to Binary Classification COLT 2022 Universal Online Learning with Unbounded Losses: Memory Is All You Need ALT 2022 Universal Rates for Interactive Learning NeurIPS 2022 Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective JMLR 2022 Unlabeled Data Help: Minimax Analysis and Adversarial Robustness AISTATS 2022 Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes NeurIPS 2022 Unobserved Local Structures Make Compositional Generalization Hard EMNLP 2022 Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity NeurIPS 2022 Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers ICML 2022 Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate ICLR 2022 Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems NeurIPS 2022 Unrolling PALM for Sparse Semi-Blind Source Separation ICLR 2022 Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation NeurIPS 2022 Unsupervised training data re-weighting for natural language understanding with local distribution approximation EMNLP 2022 Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction Interspeech 2022 UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs NeurIPS 2022 USHER: Unbiased Sampling for Hindsight Experience Replay CoRL 2022