Saved in:
| Main Author: | He, Even |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.17632 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Computable Bernstein Certificates for Cross-Fitted Clipped Covariance Estimation
by: He, Even, et al.
Published: (2026)
by: He, Even, et al.
Published: (2026)
Efficient Computation of Sparse and Robust Maximum Association Estimators
by: Pfeiffer, Pia, et al.
Published: (2023)
by: Pfeiffer, Pia, et al.
Published: (2023)
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps
by: Kelner, Jonathan, et al.
Published: (2024)
by: Kelner, Jonathan, et al.
Published: (2024)
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
by: Schmalwasser, Laines, et al.
Published: (2025)
by: Schmalwasser, Laines, et al.
Published: (2025)
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions
by: Brown, Gavin, et al.
Published: (2023)
by: Brown, Gavin, et al.
Published: (2023)
Efficient and Scalable Estimation of Tool Representations in Vector Space
by: Moon, Suhong, et al.
Published: (2024)
by: Moon, Suhong, et al.
Published: (2024)
Fast Rerandomization for Balancing Covariates in Randomized Experiments: A Metropolis-Hastings Framework
by: Lu, Jiuyao, et al.
Published: (2026)
by: Lu, Jiuyao, et al.
Published: (2026)
Fast Compute for ML Optimization
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Efficient Covariance Estimation for Sparsified Functional Data
by: Zheng, Sijie, et al.
Published: (2025)
by: Zheng, Sijie, et al.
Published: (2025)
Robust Training of Vector Quantized Bottleneck Models
by: Łańcucki, Adrian, et al.
Published: (2020)
by: Łańcucki, Adrian, et al.
Published: (2020)
Asymptotically Fast Clebsch-Gordan Tensor Products with Vector Spherical Harmonics
by: Xie, YuQing, et al.
Published: (2026)
by: Xie, YuQing, et al.
Published: (2026)
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
by: He, Zelin, et al.
Published: (2024)
by: He, Zelin, et al.
Published: (2024)
Probabilistic Segmentation for Robust Field of View Estimation
by: Hallyburton, R. Spencer, et al.
Published: (2025)
by: Hallyburton, R. Spencer, et al.
Published: (2025)
Distance Matters For Improving Performance Estimation Under Covariate Shift
by: Roschewitz, Mélanie, et al.
Published: (2023)
by: Roschewitz, Mélanie, et al.
Published: (2023)
Online Covariance Matrix Estimation in Sketched Newton Methods
by: Kuang, Wei, et al.
Published: (2025)
by: Kuang, Wei, et al.
Published: (2025)
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
by: Brown, Gavin, et al.
Published: (2021)
by: Brown, Gavin, et al.
Published: (2021)
Efficiently Vectorized MCMC on Modern Accelerators
by: Dance, Hugh, et al.
Published: (2025)
by: Dance, Hugh, et al.
Published: (2025)
Tailoring Frictional Properties of Surfaces Using Diffusion Models
by: Nordhagen, Even Marius, et al.
Published: (2024)
by: Nordhagen, Even Marius, et al.
Published: (2024)
Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices
by: Maurais, Aimee, et al.
Published: (2023)
by: Maurais, Aimee, et al.
Published: (2023)
Efficient Agent Training for Computer Use
by: He, Yanheng, et al.
Published: (2025)
by: He, Yanheng, et al.
Published: (2025)
Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA
by: Aguié, Pierre, et al.
Published: (2026)
by: Aguié, Pierre, et al.
Published: (2026)
Hybrid-Regularized Magnitude Pruning for Robust Federated Learning under Covariate Shift
by: Goksu, Ozgu, et al.
Published: (2024)
by: Goksu, Ozgu, et al.
Published: (2024)
Hardware-Efficient Attention for Fast Decoding
by: Zadouri, Ted, et al.
Published: (2025)
by: Zadouri, Ted, et al.
Published: (2025)
Vectorized FlashAttention with Low-cost Exponential Computation in RISC-V Vector Processors
by: Titopoulos, Vasileios, et al.
Published: (2025)
by: Titopoulos, Vasileios, et al.
Published: (2025)
Fingerprint Vector: Enabling Scalable and Efficient Model Fingerprint Transfer via Vector Addition
by: Xu, Zhenhua, et al.
Published: (2024)
by: Xu, Zhenhua, et al.
Published: (2024)
Do Efficient Transformers Really Save Computation?
by: Yang, Kai, et al.
Published: (2024)
by: Yang, Kai, et al.
Published: (2024)
SCOPE: Spectral Concentration by Distributionally Robust Joint Covariance-Precision Estimation
by: Chen, Renjie, et al.
Published: (2025)
by: Chen, Renjie, et al.
Published: (2025)
Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
by: Kato, Masahiro, et al.
Published: (2023)
by: Kato, Masahiro, et al.
Published: (2023)
SubFLOT: Submodel Extraction for Efficient and Personalized Federated Learning via Optimal Transport
by: Jiang, Zheng, et al.
Published: (2026)
by: Jiang, Zheng, et al.
Published: (2026)
Fast Likelihood-Free Parameter Estimation for Lévy Processes
by: Coloma, Nicolas, et al.
Published: (2025)
by: Coloma, Nicolas, et al.
Published: (2025)
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform
by: Bulgakov, Vitaly, et al.
Published: (2024)
by: Bulgakov, Vitaly, et al.
Published: (2024)
A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects
by: Pham, Khiem, et al.
Published: (2023)
by: Pham, Khiem, et al.
Published: (2023)
Shifting Perspectives: Steering Vectors for Robust Bias Mitigation in LLMs
by: Siddique, Zara, et al.
Published: (2025)
by: Siddique, Zara, et al.
Published: (2025)
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
by: Fan, Yan, et al.
Published: (2023)
by: Fan, Yan, et al.
Published: (2023)
Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators
by: Su, Zhengyang, et al.
Published: (2026)
by: Su, Zhengyang, et al.
Published: (2026)
Community Detection with Heterogeneous Block Covariance Model
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights
by: Wen, Qishuai, et al.
Published: (2026)
by: Wen, Qishuai, et al.
Published: (2026)
Meta-learning of shared linear representations beyond well-specified linear regression
by: Even, Mathieu, et al.
Published: (2025)
by: Even, Mathieu, et al.
Published: (2025)
Towards Accurate and Efficient Sub-8-Bit Integer Training
by: Guo, Wenjin, et al.
Published: (2024)
by: Guo, Wenjin, et al.
Published: (2024)
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
by: Lingam, Vijay, et al.
Published: (2024)
by: Lingam, Vijay, et al.
Published: (2024)
Similar Items
-
Computable Bernstein Certificates for Cross-Fitted Clipped Covariance Estimation
by: He, Even, et al.
Published: (2026) -
Efficient Computation of Sparse and Robust Maximum Association Estimators
by: Pfeiffer, Pia, et al.
Published: (2023) -
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps
by: Kelner, Jonathan, et al.
Published: (2024) -
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
by: Schmalwasser, Laines, et al.
Published: (2025) -
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions
by: Brown, Gavin, et al.
Published: (2023)