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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 Theoretical Framework for Inference and Learning in Predictive Coding Networks ICLR 2023 A theoretical study of inductive biases in contrastive learning ICLR 2023 A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity ICLR 2023 A theory of continuous generative flow networks ICML 2023 A Theory of Dynamic Benchmarks ICLR 2023 A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs NeurIPS 2023 A Theory of Multimodal Learning NeurIPS 2023 A theory of representation learning gives a deep generalisation of kernel methods ICML 2023 A Theory of Topological Derivatives for Inverse Rendering of Geometry ICCV 2023 A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications NeurIPS 2023 A Theory of Unsupervised Speech Recognition ACL 2023 A Three-regime Model of Network Pruning ICML 2023 A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning AISTATS 2023 A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations ICML 2023 A Trichotomy for Transductive Online Learning NeurIPS 2023 Attacks against Federated Learning Defense Systems and their Mitigation JMLR 2023 Attacks on Online Learners: a Teacher-Student Analysis NeurIPS 2023 Attention as a Guide for Simultaneous Speech Translation ACL 2023 Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect NeurIPS 2023 Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise ICML 2023 Attribution-based Explanations that Provide Recourse Cannot be Robust JMLR 2023 A Two-Sided Discussion of Preregistration of NLP Research EACL 2023 AUC Maximization for Low-Resource Named Entity Recognition AAAI 2023 Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier WACV 2023 Augmenting Automated Spectrum Based Fault Localization for Multiple Faults IJCAI 2023