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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)

DAPE: Data-Adaptive Positional Encoding for Length Extrapolation NeurIPS 2024 DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph NeurIPS 2024 DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity NeurIPS 2024 Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations AISTATS 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning ACL 2024 Data, Data Everywhere: A Guide for Pretraining Dataset Construction EMNLP 2024 Data Debugging with Shapley Importance over Machine Learning Pipelines ICLR 2024 Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality ICLR 2024 Data Distribution Valuation NeurIPS 2024 Data Diversity Matters for Robust Instruction Tuning EMNLP 2024 Data-driven Automated Negative Control Estimation (DANCE): Search for, Validation of, and Causal Inference with Negative Controls JMLR 2024 Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions AISTATS 2024 Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models NeurIPS 2024 Data-Driven Online Model Selection With Regret Guarantees AISTATS 2024 Data Driven Threshold and Potential Initialization for Spiking Neural Networks AISTATS 2024 Data driven verification of positive invariant sets for discrete, nonlinear systems L4DC 2024 Data-efficient, explainable and safe box manipulation: Illustrating the advantages of physical priors in model-predictive control L4DC 2024 Data-Efficient Learning with Neural Programs NeurIPS 2024 Data-flow Availability: Achieving Timing Assurance in Autonomous Systems OSDI 2024 Data Poisoning Attacks against Conformal Prediction ICML 2024 Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum NeurIPS 2024 Dataset Distillation by Automatic Training Trajectories ECCV 2024 DataSP: A Differential All-to-All Shortest Path Algorithm for Learning Costs and Predicting Paths with Context UAI 2024 DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans NeurIPS 2024