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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)

Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents EMNLP 2024 GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements ICML 2024 GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024 G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection AAAI 2024 GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors ICLR 2024 GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations ICLR 2024 GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking ICLR 2024 GO4Align: Group Optimization for Multi-Task Alignment NeurIPS 2024 Goal Conditioned Reinforcement Learning for Photo Finishing Tuning NeurIPS 2024 Goidelex: A Lexical Resource for Old Irish COLING 2024 Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models CVPR 2024 Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory ICLR 2024 GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond NAACL 2024 GRaCE: Balancing Multiple Criteria to Achieve Stable, Collision-Free, and Functional Grasps RSS 2024 Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NeurIPS 2024 Gradient-Based Language Model Red Teaming EACL 2024 Gradient-based Parameter Selection for Efficient Fine-Tuning CVPR 2024 Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization ICML 2024 Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation COLING 2024 Gradient Coreset for Federated Learning WACV 2024 Gradient descent in matrix factorization: Understanding large initialization UAI 2024 Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization NeurIPS 2024 Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm JMLR 2024 Gradient Guidance for Diffusion Models: An Optimization Perspective NeurIPS 2024 Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints NeurIPS 2024