Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel EMNLP 2024 Unsupervised Extractive Summarization with Learnable Length Control Strategies AAAI 2024 Unsupervised Object Detection with Theoretical Guarantees NeurIPS 2024 Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms NeurIPS 2024 Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization NeurIPS 2024 Unveiling Divergent Inductive Biases of LLMs on Temporal Data NAACL 2024 Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NeurIPS 2024 Unveiling LoRA Intrinsic Ranks via Salience Analysis NeurIPS 2024 Unveiling Privacy, Memorization, and Input Curvature Links ICML 2024 Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024 Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement EMNLP 2024 Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NeurIPS 2024 UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers ICML 2024 Updates on the Complexity of SHAP Scores IJCAI 2024 UQ-Guided Hyperparameter Optimization for Iterative Learners NeurIPS 2024 User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024 Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers ICML 2024 USHER: Holistic Interference Avoidance for Resource Optimized ML Inference OSDI 2024 Using AI Uncertainty Quantification to Improve Human Decision-Making ICML 2024 Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization AAAI 2024 Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model CVPR 2024 Using Noise to Infer Aspects of Simplicity Without Learning NeurIPS 2024 Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NeurIPS 2024 Utility-Fairness Trade-Offs and How to Find Them CVPR 2024 U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making AAAI 2024