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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)

What do Graph Neural Networks learn? Insights from Tropical Geometry NeurIPS 2024 What Drives Performance in Multilingual Language Models? NAACL 2024 What How and When Should Object Detectors Update in Continually Changing Test Domains? CVPR 2024 What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding ICML 2024 What Is Best for Students, Numerical Scores or Letter Grades? IJCAI 2024 What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks NeurIPS 2024 What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis ICML 2024 What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages ACL 2024 What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity ICLR 2024 What Makes Models Compositional? A Theoretical View IJCAI 2024 What makes unlearning hard and what to do about it NeurIPS 2024 What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation ICML 2024 What’s in a Name? Electrophysiological Differences in Processing Proper Nouns in Mandarin Chinese COLING 2024 What's in a Prior? Learned Proximal Networks for Inverse Problems ICLR 2024 What's In My Big Data? ICLR 2024 What’s under the hood: Investigating Automatic Metrics on Meeting Summarization EMNLP 2024 When and How Does In-Distribution Label Help Out-of-Distribution Detection? ICML 2024 When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making AAAI 2024 When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards ACL 2024 When CEGAR Meets Regression: A Love Story in Optimal Classical Planning AAAI 2024 When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models EMNLP 2024 When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale NAACL 2024 When is a Language Process a Language Model? ACL 2024 When Is Inductive Inference Possible? NeurIPS 2024 When No-Rejection Learning is Consistent for Regression with Rejection AISTATS 2024