Jacob Abernethy

Jacob Abernethy

University of Michigan

H-index: 33

North America-United States

About Jacob Abernethy

Jacob Abernethy, With an exceptional h-index of 33 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Machine Learning, Game Theory, Sequential Decision Making.

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

Extragradient type methods for Riemannian variational inequality problems

A mechanism for sample-efficient in-context learning for sparse retrieval tasks

Riemannian Projection-free Online Learning

Faster Margin Maximization Rates for Generic Optimization Methods

Lexicographic Optimization: Algorithms and Stability

Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision

On the robustness of epoch-greedy in multi-agent contextual bandit mechanisms

Minimizing dynamic regret on geodesic metric spaces

Jacob Abernethy Information

University

Position

Assistant Professor

Citations(all)

4214

Citations(since 2020)

2348

Cited By

2832

hIndex(all)

33

hIndex(since 2020)

25

i10Index(all)

62

i10Index(since 2020)

47

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Jacob Abernethy Skills & Research Interests

Machine Learning

Game Theory

Sequential Decision Making

Top articles of Jacob Abernethy

Title

Journal

Author(s)

Publication Date

Extragradient type methods for Riemannian variational inequality problems

Zihao Hu

Guanghui Wang

Xi Wang

Andre Wibisono

Jacob D Abernethy

...

2024/4/18

A mechanism for sample-efficient in-context learning for sparse retrieval tasks

arXiv preprint arXiv:2305.17040

Jacob Abernethy

Alekh Agarwal

Teodor V Marinov

Manfred K Warmuth

2023/5/26

Riemannian Projection-free Online Learning

Advances in Neural Information Processing Systems

Zihao Hu

Guanghui Wang

Jacob D Abernethy

2024/2/13

Faster Margin Maximization Rates for Generic Optimization Methods

Advances in Neural Information Processing Systems

Guanghui Wang

Zihao Hu

Vidya Muthukumar

Jacob D Abernethy

2024/2/13

Lexicographic Optimization: Algorithms and Stability

Jacob D Abernethy

Robert Schapire

Umar Syed

2024/4/18

Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision

Feng Luo

Ling Liu

G Geoff Wang

Vijay Kumar

Mark S Ashton

...

2023/11/1

On the robustness of epoch-greedy in multi-agent contextual bandit mechanisms

arXiv preprint arXiv:2307.07675

Yinglun Xu

Bhuvesh Kumar

Jacob Abernethy

2023/7/15

Minimizing dynamic regret on geodesic metric spaces

Zihao Hu

Guanghui Wang

Jacob D Abernethy

2023/7/12

No-regret dynamics in the fenchel game: A unified framework for algorithmic convex optimization

Mathematical Programming

Jun-Kun Wang

Jacob Abernethy

Kfir Y Levy

2023/6/22

Randomized quantization is all you need for differential privacy in federated learning

arXiv preprint arXiv:2306.11913

Yeojoon Youn

Zihao Hu

Juba Ziani

Jacob Abernethy

2023/6/20

8 Perturbation Techniques in Online

Perturbations, Optimization, and Statistics

Jacob Abernethy

2023/12/5

Adaptive oracle-efficient online learning

Advances in Neural Information Processing Systems

Guanghui Wang

Zihao Hu

Vidya Muthukumar

Jacob D Abernethy

2022/12/6

Accelerated federated optimization with quantization

Yeojoon Youn

Bhuvesh Kumar

Jacob Abernethy

2022/10/21

On accelerated perceptrons and beyond

arXiv preprint arXiv:2210.09371

Guanghui Wang

Rafael Hanashiro

Etash Guha

Jacob Abernethy

2022/10/17

Activehedge: Hedge meets active learning

Bhuvesh Kumar

Jacob D Abernethy

Venkatesh Saligrama

2022/6/28

Fast convergence of fictitious play for diagonal payoff matrices

Jacob Abernethy

Kevin A Lai

Andre Wibisono

2021

Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron

Jun-Kun Wang

Jacob Abernethy

2021/11/28

A modular analysis of provable acceleration via polyak’s momentum: Training a wide relu network and a deep linear network

Jun-Kun Wang

Chi-Heng Lin

Jacob D Abernethy

2021/7/1

Escaping saddle points faster with stochastic momentum

arXiv preprint arXiv:2106.02985

Jun-Kun Wang

Chi-Heng Lin

Jacob Abernethy

2021/6/5

A multiclass boosting framework for achieving fast and provable adversarial robustness

arXiv preprint arXiv:2103.01276

Jacob Abernethy

Pranjal Awasthi

Satyen Kale

2021/3/1

See List of Professors in Jacob Abernethy University(University of Michigan)

Co-Authors

H-index: 85
Shie Mannor

Shie Mannor

Technion - Israel Institute of Technology

H-index: 83
Peter Bartlett

Peter Bartlett

University of California, Berkeley

H-index: 81
Michael Kearns

Michael Kearns

University of Pennsylvania

H-index: 74
Jean-Philippe Vert

Jean-Philippe Vert

MINES ParisTech

H-index: 73
Carlos Castillo

Carlos Castillo

Universidad Pompeu Fabra

H-index: 63
Elad Hazan

Elad Hazan

Princeton University

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