Bin YU

Bin YU

University of California, Berkeley

H-index: 79

North America-United States

About Bin YU

Bin YU, With an exceptional h-index of 79 and a recent h-index of 57 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Statistics, Machine Learning, Neuroscience, Genomics, Remote Sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Designing a Data Science simulation with MERITS: A Primer

Machine Learning Models Use Large Scale Signals to Forecast the MJO

Learning epistatic polygenic phenotypes with Boolean interactions

Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency

Minimum-Norm Interpolation Under Covariate Shift

LoRA+: Efficient Low Rank Adaptation of Large Models

simChef: High-quality data science simulations in R

Tell your model where to attend: Post-hoc attention steering for llms

Bin YU Information

University

Position

Professor of Statistics and EECS

Citations(all)

40349

Citations(since 2020)

16683

Cited By

30373

hIndex(all)

79

hIndex(since 2020)

57

i10Index(all)

179

i10Index(since 2020)

128

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Bin YU Skills & Research Interests

Statistics

Machine Learning

Neuroscience

Genomics

Remote Sensing

Top articles of Bin YU

Title

Journal

Author(s)

Publication Date

Designing a Data Science simulation with MERITS: A Primer

arXiv preprint arXiv:2403.08971

Corrine F Elliott

James Duncan

Tiffany M Tang

Merle Behr

Karl Kumbier

...

2024/3/13

Machine Learning Models Use Large Scale Signals to Forecast the MJO

Lin Yao

Da Yang

James Duncan

Ashesh Kumar Chattopadhyay

Pedram Hassanzadeh

...

2024/3/7

Learning epistatic polygenic phenotypes with Boolean interactions

Plos one

Merle Behr

Karl Kumbier

Aldo Cordova-Palomera

Matthew Aguirre

Omer Ronen

...

2024/4/16

Large Stepsize Gradient Descent for Logistic Loss: Non-Monotonicity of the Loss Improves Optimization Efficiency

arXiv preprint arXiv:2402.15926

Jingfeng Wu

Peter L Bartlett

Matus Telgarsky

Bin Yu

2024/2/24

Minimum-Norm Interpolation Under Covariate Shift

arXiv preprint arXiv:2404.00522

Neil Mallinar

Austin Zane

Spencer Frei

Bin Yu

2024/3/31

LoRA+: Efficient Low Rank Adaptation of Large Models

arXiv preprint arXiv:2402.12354

Soufiane Hayou

Nikhil Ghosh

Bin Yu

2024/2/19

simChef: High-quality data science simulations in R

Journal of Open Source Software

James Duncan

Tiffany Tang

Corrine F Elliott

Philippe Boileau

Bin Yu

2024/3/28

Tell your model where to attend: Post-hoc attention steering for llms

???? ICLR

Qingru Zhang

Chandan Singh

Liyuan Liu

Xiaodong Liu

Bin Yu

...

2024/1/1

What is uncertainty in today’s practice of data science?

Journal of Econometrics

Bin Yu

2023

The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning

arXiv preprint arXiv:2308.03215

Nikhil Ghosh

Spencer Frei

Wooseok Ha

Bin Yu

2023/8/6

Unsupervised pattern discovery in spatial gene expression atlas reveals mouse brain regions beyond established ontology

bioRxiv

Robert Cahill*

Yu Wang*

R. Patrick Xian

Alex Lee

Hongkui Zeng

...

2023/9

Same Root Different Leaves: Time Series and Cross‐Sectional Methods in Panel Data

Econometrica

Dennis Shen

Peng Ding

Jasjeet Sekhon

Bin Yu

2023/11

MDI+: A Flexible Random Forest-Based Feature Importance Framework

arXiv preprint arXiv:2307.01932

Abhineet Agarwal

Ana M Kenney

Yan Shuo Tan

Tiffany M Tang

Bin Yu

2023/7/4

Revisiting minimum description length complexity in overparameterized models

Journal of Machine Learning Research (JMLR) 2023

Raaz Dwivedi*

Chandan Singh*

Bin Yu

Martin J Wainwright

2023/10/30

Improving Prototypical Part Networks with Reward Reweighing, Reselection, and Retraining

Aaron Jiaxun Li

Robin Netzorg

Bin Yu

2023/10/13

An Investigation into the Effects of Pre-training Data Distributions for Pathology Report Classification

arXiv preprint arXiv:2305.17588

Aliyah R Hsu

Yeshwanth Cherapanamjeri

Briton Park

Tristan Naumann

Anobel Y Odisho

...

2023/5/27

Explaining black box text modules in natural language with language models

???????????? NeurIPS workshop (XAIA)

Chandan Singh*

Aliyah R Hsu*

Richard Antonello

Shailee Jain

Alexander G Huth

...

2023/5/17

A blood-based metabolomic signature predictive of risk for pancreatic cancer

Cell Reports Medicine

Ehsan Irajizad

Ana Kenney

Tiffany Tang

Jody Vykoukal

Ranran Wu

...

2023/9/19

Epistasis regulates genetic control of cardiac hypertrophy

Research Square

Qianru Wang

Tiffany M Tang

Nathan Youlton

Chad S Weldy

Ana M Kenney

...

2023/11/20

Abstract P076: Contribution of the microbiome to a metabolomic signature predictive of risk for pancreatic cancer

Cancer Prevention Research

Johannes F Fahrmann

Ehsan Irajizad

Ana Kenney

Tiffany Tang

Jody Vykoukal

...

2023/1/1

See List of Professors in Bin YU University(University of California, Berkeley)

Co-Authors

H-index: 118
martin vetterli

martin vetterli

École Polytechnique Fédérale de Lausanne

H-index: 100
peter bickel

peter bickel

University of California, Berkeley

H-index: 90
Robert D Nowak

Robert D Nowak

University of Wisconsin-Madison

H-index: 54
Pradeep Ravikumar

Pradeep Ravikumar

Carnegie Mellon University

H-index: 51
Mark Coates

Mark Coates

McGill University

H-index: 47
Andrew R Barron

Andrew R Barron

Yale University

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