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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

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828
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2000
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Papers (including subtopics)

Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems JMLR 2024 Measuring Stochastic Data Complexity with Boltzmann Influence Functions ICML 2024 Measuring the Robustness of NLP Models to Domain Shifts EMNLP 2024 Mechanics of Next Token Prediction with Self-Attention AISTATS 2024 Mechanism design augmented with output advice NeurIPS 2024 Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks ICLR 2024 MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models AAAI 2024 MedBN: Robust Test-Time Adaptation against Malicious Test Samples CVPR 2024 Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games ICLR 2024 Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models EMNLP 2024 Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length NeurIPS 2024 MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs NSDI 2024 MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning ACL 2024 Membership Testing in Markov Equivalence Classes via Independence Queries AISTATS 2024 Memorization Capacity of Multi-Head Attention in Transformers ICLR 2024 Memorization Through the Lens of Curvature of Loss Function Around Samples ICML 2024 Memorization With Neural Nets: Going Beyond the Worst Case JMLR 2024 Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games AAAI 2024 Memory Augmented Language Models through Mixture of Word Experts NAACL 2024 Memory-Efficient Fine-Tuning of Transformers via Token Selection EMNLP 2024 Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NeurIPS 2024 Memory-Efficient LLM Training with Online Subspace Descent NeurIPS 2024 Memory of recurrent networks: Do we compute it right? JMLR 2024 Mentored Learning: Improving Generalization and Convergence of Student Learner JMLR 2024 MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information AAAI 2024