conftrace_

spectral norm

39 papers

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Co-occurring keywords

matrix completion (356) frobenius norm (18) neural network (6616) covariance matrix (101) dimensionality reduction (720) matrix estimation (34) generalization bound (652) covariance estimation (98) sample complexity (1169) lipschitz constant (48)

Papers

On Purely Private Covariance Estimation ALT 2026
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints ICCV 2025
Spectrum Extraction and Clipping for Implicitly Linear Layers AISTATS 2024
Intractability of Learning the Discrete Logarithm with Gradient-Based Methods ACML 2023
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration ICML 2023
KDEformer: Accelerating Transformers via Kernel Density Estimation ICML 2023
SSDA: Secure Source-Free Domain Adaptation ICCV 2023
Understanding Hessian Alignment for Domain Generalization ICCV 2023
Conditional Linear Regression for Heterogeneous Covariances AISTATS 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma NIPS 2022
The alignment property of SGD noise and how it helps select flat minima: A stability analysis NIPS 2022
The Sample Complexity of One-Hidden-Layer Neural Networks NIPS 2022
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks NIPS 2020
Entrywise convergence of iterative methods for eigenproblems NIPS 2020
On Generalization Bounds of a Family of Recurrent Neural Networks AISTATS 2020
Fine-grained Optimization of Deep Neural Networks NIPS 2019
Learning Neural Networks with Adaptive Regularization NIPS 2019
Fully Understanding The Hashing Trick NIPS 2018
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems NIPS 2017
Minimax Estimation of Bandable Precision Matrices NIPS 2017
Spectrally-normalized margin bounds for neural networks NIPS 2017
Matrix Norm Estimation from a Few Entries NIPS 2017
Single Pass PCA of Matrix Products NIPS 2016
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates AISTATS 2016