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08/21/2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Machine learning has demonstrated remarkable performance over finite dat...
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07/31/2023
Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives
The trustworthiness of machine learning has emerged as a critical topic ...
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05/19/2022
Augmented Lagrangian Methods for Time-varying Constrained Online Convex Optimization
In this paper, we consider online convex optimization (OCO) with time-va...
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05/12/2021
UIUC_BioNLP at SemEval-2021 Task 11: A Cascade of Neural Models for Structuring Scholarly NLP Contributions
We propose a cascade of neural models that performs sentence classificat...
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07/23/2019
Minimax rates in sparse, high-dimensional changepoint detection
We study the detection of a sparse change in a high-dimensional mean vec...
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05/13/2019
Exact high-dimensional asymptotics for support vector machine
Support vector machine (SVM) is one of the most widely used classificati...
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04/24/2018
Between hard and soft thresholding: optimal iterative thresholding algorithms
Iterative thresholding algorithms seek to optimize a differentiable obje...
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12/21/2017
