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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)

Robust Self-calibration of Focal Lengths from the Fundamental Matrix CVPR 2024 Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination ICML 2024 Robust Sparse Regression with Non-Isotropic Designs NeurIPS 2024 Robust Sparse Voting AISTATS 2024 RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies ICLR 2024 Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024 Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024 RoDLA: Benchmarking the Robustness of Document Layout Analysis Models CVPR 2024 Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs ICLR 2024 RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization EMNLP 2024 RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions NeurIPS 2024 ROME: Robust Multi-Modal Density Estimator IJCAI 2024 Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024 RoPINN: Region Optimized Physics-Informed Neural Networks NeurIPS 2024 RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning EMNLP 2024 Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks ICML 2024 RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning EMNLP 2024 ROUGE-K: Do Your Summaries Have Keywords? NAACL 2024 RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands CoRL 2024 RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction IJCAI 2024 Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models EMNLP 2024 Runtime Analysis of the SMS-EMOA for Many-Objective Optimization AAAI 2024 Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations AAAI 2024 S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video ICML 2024 Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage NeurIPS 2024