Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Long-Term Fair Decision Making through Deep Generative Models AAAI 2024 Lookback Prophet Inequalities NeurIPS 2024 Lookbehind-SAM: k steps back, 1 step forward ICML 2024 Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models NeurIPS 2024 Looping in the Human: Collaborative and Explainable Bayesian Optimization AISTATS 2024 Loopy-SLAM: Dense Neural SLAM with Loop Closures CVPR 2024 LoRA+: Efficient Low Rank Adaptation of Large Models ICML 2024 LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks ACL 2024 LoRA-GA: Low-Rank Adaptation with Gradient Approximation NeurIPS 2024 LoRAN: Improved Low-Rank Adaptation by a Non-Linear Transformation EMNLP 2024 LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search NeurIPS 2024 LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning ACL 2024 LoRA Training in the NTK Regime has No Spurious Local Minima ICML 2024 LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking CVPR 2024 LoS: Local Structure-Guided Stereo Matching CVPR 2024 Loss Landscape Characterization of Neural Networks without Over-Parametrization NeurIPS 2024 Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding NAACL 2024 Loss Shaping Constraints for Long-Term Time Series Forecasting ICML 2024 Lossy Context Surprisal Predicts Task-Dependent Patterns in Relative Clause Processing CoNLL 2024 Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains AAAI 2024 Low Degree Hardness for Broadcasting on Trees NeurIPS 2024 Low-degree phase transitions for detecting a planted clique in sublinear time COLT 2024 Low-Distortion Clustering with Ordinal and Limited Cardinal Information AAAI 2024 Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks NeurIPS 2024 Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization NeurIPS 2024