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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)

HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NeurIPS 2024 HW-TSC 2024 Submission for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR) SemEval 2024 HW-TSC’s Simultaneous Speech Translation System for IWSLT 2024 ACL 2024 Hybrid Alignment Training for Large Language Models ACL 2024 Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability NeurIPS 2024 Hybrid Inverse Reinforcement Learning ICML 2024 Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs NeurIPS 2024 Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion AAAI 2024 HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NeurIPS 2024 HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning NeurIPS 2024 HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses IJCAI 2024 HyperAttention: Long-context Attention in Near-Linear Time ICLR 2024 Hyperbolic Embeddings of Supervised Models NeurIPS 2024 Hyperbolic Optimizer as a Dynamical System ICML 2024 Hypergraph Dynamic System ICLR 2024 HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation CoRL 2024 Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NeurIPS 2024 Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding ACL 2024 Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It IJCAI 2024 Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study CLeaR 2024 HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links NeurIPS 2024 HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation CVPR 2024 Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood AAAI 2024 HYRR: Hybrid Infused Reranking for Passage Retrieval COLING 2024 I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing NeurIPS 2024