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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)

Mitigating Underfitting in Learning to Defer with Consistent Losses AISTATS 2024 Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes NeurIPS 2024 Mixed-Effects Contextual Bandits AAAI 2024 Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices CVPR 2024 Mixed variational flows for discrete variables AISTATS 2024 MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters WACV 2024 Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NeurIPS 2024 Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models EMNLP 2024 Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts ACL 2024 MLP Can Be A Good Transformer Learner CVPR 2024 MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding NeurIPS 2024 mmComb: High-speed mmWave Commodity WiFi Backscatter NSDI 2024 MMD-based Variable Importance for Distributional Random Forest AISTATS 2024 MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction IJCAI 2024 Mmm whatcha say? Uncovering distal and proximal context effects in first and second-language word perception using psychophysical reverse correlation Interspeech 2024 MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance ICML 2024 Model Alignment as Prospect Theoretic Optimization ICML 2024 Model Assessment and Selection under Temporal Distribution Shift ICML 2024 Model Balancing Helps Low-data Training and Fine-tuning EMNLP 2024 Model-Based Best Arm Identification for Decreasing Bandits AISTATS 2024 Model-based Diffusion for Trajectory Optimization NeurIPS 2024 Model Based Inference of Synaptic Plasticity Rules NeurIPS 2024 Model-Based Minimum Bayes Risk Decoding for Text Generation ICML 2024 Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024 Model-based Reinforcement Learning for Parameterized Action Spaces ICML 2024