Showing 21–40 of 49 results
/ Date/ Name
Mar 18, 2023AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-TuningJan 1, 2022Deep Nonparametric Estimation of Operators between Infinite Dimensional SpacesJul 13, 2023Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward ImprovementFeb 25, 2023On Deep Generative Models for Approximation and Estimation of Distributions on ManifoldsNov 5, 2025Provable Separations between Memorization and Generalization in Diffusion ModelsMar 21, 2026Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical ComplexityAug 25, 2020Residual Network Based Direct Synthesis of EM Structures: A Study on One-to-One TransformersJan 6, 2022Deep Learning Assisted End-to-End Synthesis of mm-Wave Passive Networks with 3D EM Structures: A Study on A Transformer-Based Matching NetworkJun 6, 2022Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep NetworksOct 16, 2023Sample Complexity of Preference-Based Nonparametric Off-Policy Evaluation with Deep NetworksJun 23, 2024Provable Statistical Rates for Consistency Diffusion ModelsJul 4, 2023Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual NetworksOct 30, 2024A Theoretical Perspective for Speculative Decoding AlgorithmDec 1, 2025Parameter-Efficient Subspace Optimization for LLM Fine-TuningFeb 18, 2026Training-Free Adaptation of Diffusion Models via Doob's $h$-TransformDec 28, 2018On Computation and Generalization of GANs with Spectrum ControlJul 24, 2023Provable Benefits of Policy Learning from Human Preferences in Contextual Bandit ProblemsDec 1, 2022High Dimensional Binary Classification under Label Shift: Phase Transition and RegularizationSep 10, 2019Towards Understanding the Importance of Shortcut Connections in Residual NetworksNov 26, 2024On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimality