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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)

High-dimensional (Group) Adversarial Training in Linear Regression NeurIPS 2024 High-dimensional Linear Bandits with Knapsacks ICML 2024 High-dimensional SGD aligns with emerging outlier eigenspaces ICLR 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 High-order Joint Constituency and Dependency Parsing COLING 2024 High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024 High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails ICML 2024 High-probability complexity bounds for stochastic non-convex minimax optimization NeurIPS 2024 High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise JMLR 2024 High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise ICML 2024 High Rank Path Development: an approach to learning the filtration of stochastic processes NeurIPS 2024 High-throughput and Flexible Host Networking for Accelerated Computing OSDI 2024 Highway Value Iteration Networks ICML 2024 HIVE: Harnessing Human Feedback for Instructional Visual Editing CVPR 2024 Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement Interspeech 2024 HomoFormer: Homogenized Transformer for Image Shadow Removal CVPR 2024 Homomorphism Counts for Graph Neural Networks: All About That Basis ICML 2024 Honor Among Bandits: No-Regret Learning for Online Fair Division NeurIPS 2024 Hop, skip, jump to Convergence: Dynamics of Learning Rate Transitions for Improved Training of Large Language Models EMNLP 2024 Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation AISTATS 2024 Horizon-Free Regret for Linear Markov Decision Processes ICLR 2024 Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs ICLR 2024 Horus: Granular In-Network Task Scheduler for Cloud Datacenters NSDI 2024 How connectivity structure shapes rich and lazy learning in neural circuits ICLR 2024 How Consistent are Speech-Based Biomarkers in Remote Tracking of ALS Disease Progression Across Languages? A Case Study of English and Dutch Interspeech 2024