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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Multi-Strategy Deployment-Time Learning and Adaptation for Navigation under Uncertainty CoRL 2024 Multi-Task Transfer Matters During Instruction-Tuning ACL 2024 Multitenant In-Network Acceleration with SwitchVM NSDI 2024 Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction NeurIPS 2024 Multi-View 3D Object Reconstruction and Uncertainty Modelling With Neural Shape Prior WACV 2024 Multi-View Stochastic Block Models ICML 2024 Multi-Winner Reconfiguration NeurIPS 2024 MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancement Interspeech 2024 Musical Phrase Segmentation via Grammatical Induction IJCAI 2024 MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning ICLR 2024 Mutli-Armed Bandits with Network Interference NeurIPS 2024 Mutual Information Estimation via f-Divergence and Data Derangements NeurIPS 2024 MVBench: A Comprehensive Multi-modal Video Understanding Benchmark CVPR 2024 MVP: Minimal Viable Phrase for Long Text Understanding COLING 2024 NanoAdapt: Mitigating Negative Transfer in Test Time Adaptation with Extremely Small Batch Sizes IJCAI 2024 NARUTO: Neural Active Reconstruction from Uncertain Target Observations CVPR 2024 Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning ICML 2024 Nash Learning from Human Feedback ICML 2024 Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning EMNLP 2024 Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models ACL 2024 Nature-Inspired Local Propagation NeurIPS 2024 Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits NeurIPS 2024 Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse CVPR 2024 Navigating Beyond Dropout: An Intriguing Solution towards Generalizable Image Super Resolution CVPR 2024 Navigating Chemical Space with Latent Flows NeurIPS 2024