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

The Neurally-Guided Shape Parser: Grammar-Based Labeling of 3D Shape Regions With Approximate Inference CVPR 2022 The Neural Race Reduction: Dynamics of Abstraction in Gated Networks ICML 2022 The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models EMNLP 2022 The optimal noise in noise-contrastive learning is not what you think UAI 2022 Theoretical analysis of deep neural networks for temporally dependent observations NeurIPS 2022 Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning JMLR 2022 Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data JMLR 2022 Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods AAAI 2022 Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques NeurIPS 2022 Theoretically Provable Spiking Neural Networks NeurIPS 2022 The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study ACL 2022 The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication COLT 2022 "The Pedestrian Next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping CVPR 2022 The Perils of Learning Before Optimizing AAAI 2022 The Pitfalls of Regularization in Off-Policy TD Learning NeurIPS 2022 The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift NeurIPS 2022 The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance COLT 2022 The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces ICML 2022 The power of first-order smooth optimization for black-box non-smooth problems ICML 2022 The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? NeurIPS 2022 The Price of Justified Representation AAAI 2022 The Price of Selfishness: Conjunctive Query Entailment for ALCSelf Is 2EXPTIME-Hard AAAI 2022 The Price of Tolerance in Distribution Testing COLT 2022 The price of unfairness in linear bandits with biased feedback NeurIPS 2022 The Primacy Bias in Deep Reinforcement Learning ICML 2022