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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)

A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines JMLR 2021 A Topological Perspective on Causal Inference NeurIPS 2021 ATP: In-network Aggregation for Multi-tenant Learning NSDI 2021 A Trace-restricted Kronecker-Factored Approximation to Natural Gradient AAAI 2021 AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing AAAI 2021 Attention Approximates Sparse Distributed Memory NeurIPS 2021 Attention is not all you need: pure attention loses rank doubly exponentially with depth ICML 2021 Attention is Turing-Complete JMLR 2021 A Tutorial on Evaluation Metrics used in Natural Language Generation NAACL 2021 Auction Learning as a Two-Player Game ICLR 2021 Augmented Lagrangian Adversarial Attacks ICCV 2021 Augmented Shortcuts for Vision Transformers NeurIPS 2021 A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints JMLR 2021 A Unified Convergence Analysis for Shuffling-Type Gradient Methods JMLR 2021 A Unified Encoding of Structures in Transition Systems EMNLP 2021 A unified framework for bandit multiple testing NeurIPS 2021 A Unified Framework for Planning with Learned Neural Network Transition Models AAAI 2021 A Unified Lottery Ticket Hypothesis for Graph Neural Networks ICML 2021 A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective JMLR 2021 A Unified Taylor Framework for Revisiting Attribution Methods AAAI 2021 A unified view of likelihood ratio and reparameterization gradients AISTATS 2021 A Uniform Abstraction Framework for Generalized Planning IJCAI 2021 A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction IJCAI 2021 A unifying view on implicit bias in training linear neural networks ICLR 2021 A Universal 2-state n-action Adaptive Management Solver AAAI 2021