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Jacob Abernethy
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43
Can Transformers Reason Logically? A Study in SAT Solving
4 days ago by
Leyan Pan
and
others
Machine Learning
,
Artificial Intelligence
Extragradient Type Methods for Riemannian Variational Inequality Problems
1 June 2024 by
Zihao Hu
and
others
Optimization and Control
,
Machine Learning
Lexicographic Optimization: Algorithms and Stability
2 May 2024 by
Jacob Abernethy
and
others
at
Georgia Institute of Technology
Optimization and Control
On the Robustness of Epoch-Greedy in Multi-Agent Contextual Bandit Mechanisms
15 July 2023 by
Yinglun Xu
and
others
Machine Learning
,
Information Retrieval
Minimizing Dynamic Regret on Geodesic Metric Spaces
5 July 2023 by
Zihao Hu
and
others
Machine Learning
Randomized Quantization is All You Need for Differential Privacy in Federated Learning
20 June 2023 by
Yeojoon Youn
and
others
Machine Learning
,
Cryptography and Security
On Riemannian Projection-free Online Learning
30 May 2023 by
Zihao Hu
and
others
Machine Learning
Faster Margin Maximization Rates for Generic Optimization Methods
27 May 2023 by
Guanghui Wang
and
others
Machine Learning
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks
26 May 2023 by
Jacob Abernethy
and
others
Machine Learning
,
Computation and Language
No-Regret Dynamics in the Fenchel Game: A Unified Framework for Algorithmic Convex Optimization
20 October 2022 by
Jun-Kun Wang
and
others
Machine Learning
,
Computer Science and Game Theory
Adaptive Oracle-Efficient Online Learning
17 October 2022 by
Guanghui Wang
and
others
Machine Learning
On Accelerated Perceptrons and Beyond
17 October 2022 by
Guanghui Wang
and
others
Machine Learning
,
Optimization and Control
Active Sampling for Min-Max Fairness
3 November 2021 by
Jacob Abernethy
and
others
Machine Learning
Understanding How Over-Parametrization Leads to Acceleration: A case of learning a single teacher neuron
25 May 2021 by
Jun-Kun Wang
and
Jacob Abernethy
Machine Learning
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness
3 March 2021 by
Jacob Abernethy
and
others
Machine Learning
Quickly Finding a Benign Region via Heavy Ball Momentum in Non-Convex Optimization
14 February 2021 by
Jun-Kun Wang
and
Jacob Abernethy
Machine Learning
A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network
14 February 2021 by
Jun-Kun Wang
and
others
Machine Learning
,
Optimization and Control
Linear Separation via Optimism
17 November 2020 by
Rafael Hanashiro
and
Jacob Abernethy
Machine Learning
Fast Convergence of Fictitious Play for Diagonal Payoff Matrices
22 July 2020 by
Jacob Abernethy
and
others
Computer Science and Game Theory
Online Kernel based Generative Adversarial Networks
19 June 2020 by
Yeojoon Youn
and
others
Machine Learning
Last-iterate convergence rates for min-max optimization
15 August 2019 by
Jacob Abernethy
and
others
Optimization and Control
,
Computer Science and Game Theory
Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs
17 July 2019 by
Adrian Rivera Cardoso
and
others
Machine Learning
Acceleration through Optimistic No-Regret Dynamics
27 October 2018 by
Jun-Kun Wang
and
Jacob Abernethy
Machine Learning
ActiveRemediation: The Search for Lead Pipes in Flint, Michigan
17 August 2018 by
Jacob Abernethy
and
others
Machine Learning
,
Computers and Society
Faster Rates for Convex-Concave Games
17 May 2018 by
Jacob Abernethy
and
others
Machine Learning
Online Learning via Differential Privacy
10 February 2018 by
Jacob Abernethy
and
others
Machine Learning
A Data Science Approach to Understanding Residential Water Contamination in Flint
5 July 2017 by
Alex Chojnacki
and
others
Machine Learning
,
Applications
How to Train Your DRAGAN
24 May 2017 by
Naveen Kodali
and
others
Artificial Intelligence
,
Computer Vision and Pattern Recognition
Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing
30 September 2016 by
Jacob Abernethy
and
others
at
University of Michigan
Machine Learning
,
Applications
Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences
30 September 2016 by
Jacob Abernethy
and
others
at
University of Michigan
Applications
,
Databases
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Machine Learning
Computer Science and Game Theory
Optimization and Control
Applications
Artificial Intelligence
Information Retrieval
Cryptography and Security
Distributed, Parallel, and Cluster Computing
Computation and Language
Computers and Society
Computer Vision and Pattern Recognition
Neural and Evolutionary Computing
Databases
Computational Finance
Pricing of Securities