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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 LUPI distillation-based approach: Application to predicting Proximal Junctional Kyphosis MLHC 2024 Ambiguity-Aware Abductive Learning ICML 2024 A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks ALT 2024 Ameliorate Spurious Correlations in Dataset Condensation ICML 2024 A Metalearned Neural Circuit for Nonparametric Bayesian Inference NeurIPS 2024 A Meta-Learning Perspective on Transformers for Causal Language Modeling ACL 2024 A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning NeurIPS 2024 A minimax optimal approach to high-dimensional double sparse linear regression JMLR 2024 AMLB: an AutoML Benchmark JMLR 2024 A Model for Estimating the Economic Costs of Computer Vision Systems That Use Deep Learning AAAI 2024 AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment NeurIPS 2024 Amortized Bayesian Experimental Design for Decision-Making NeurIPS 2024 Amortized Eigendecomposition for Neural Networks NeurIPS 2024 Amortized Equation Discovery in Hybrid Dynamical Systems ICML 2024 Amortized Variational Deep Kernel Learning ICML 2024 Amortizing intractable inference in diffusion models for vision, language, and control NeurIPS 2024 Amortizing Pragmatic Program Synthesis with Rankings ICML 2024 AMPO: Automatic Multi-Branched Prompt Optimization EMNLP 2024 A Multilevel Analysis of PubMed-only BERT-based Biomedical Models NAACL 2024 A multi-modal distributed learning algorithm in reproducing kernel Hilbert spaces L4DC 2024 A Multi-Perspective Analysis of Memorization in Large Language Models EMNLP 2024 An abstract theory of sensor eventification RSS 2024 An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness NeurIPS 2024 An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization NeurIPS 2024 An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints NeurIPS 2024