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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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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization IJCAI 2024 LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models ACL 2024 LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training EMNLP 2024 LLaMA Pro: Progressive LLaMA with Block Expansion ACL 2024 Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection EMNLP 2024 LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery ICML 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NeurIPS 2024 LLM Circuit Analyses Are Consistent Across Training and Scale NeurIPS 2024 LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models EACL 2024 LLM Dataset Inference: Did you train on my dataset? NeurIPS 2024 LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs IJCAI 2024 LLM Performance Predictors are good initializers for Architecture Search ACL 2024 LLM-QAT: Data-Free Quantization Aware Training for Large Language Models ACL 2024 LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback NAACL 2024 LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores ACL 2024 LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law EMNLP 2024 Load is not what you should balance: Introducing Prequal NSDI 2024 Local and Adaptive Mirror Descents in Extensive-Form Games NeurIPS 2024 Local and Global Decoding in Text Generation EMNLP 2024 Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NeurIPS 2024 Local Composite Saddle Point Optimization ICLR 2024 Localisation of Regularised and Multiview Support Vector Machine Learning JMLR 2024 Localized Adaptive Risk Control NeurIPS 2024 Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond JMLR 2024 Localized Zeroth-Order Prompt Optimization NeurIPS 2024