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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)

Lower Bounds on the Bayesian Risk via Information Measures JMLR 2024 Lower Bounds on the Expressivity of Recurrent Neural Language Models NAACL 2024 Lower Complexity Adaptation for Empirical Entropic Optimal Transport JMLR 2024 Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024 Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization AISTATS 2024 Low-Latency Neural Stereo Streaming CVPR 2024 Low Precision Local Training is Enough for Federated Learning NeurIPS 2024 Low-Rank Adaptation for Multilingual Summarization: An Empirical Study NAACL 2024 Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs CVPR 2024 Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning CLeaR 2024 Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery ICML 2024 Low-rank Matrix Bandits with Heavy-tailed Rewards UAI 2024 Low-rank MDPs with Continuous Action Spaces AISTATS 2024 LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction CVPR 2024 Low-Rank Prune-And-Factorize for Language Model Compression COLING 2024 Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024 Low-rank Variational Bayes correction to the Laplace method JMLR 2024 LP-3DGS: Learning to Prune 3D Gaussian Splatting NeurIPS 2024 LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP CVPR 2024 LPGD: A General Framework for Backpropagation through Embedded Optimization Layers ICML 2024 lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning ICLR 2024 LPZero: Language Model Zero-cost Proxy Search from Zero EMNLP 2024 LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network AAAI 2024 LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models ACL 2024 LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate AAAI 2024