activity
20152022
most citedWarm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback

12 citations · 20 across the 7 of their papers we have counts for

collaborators

17 papers

cs.LG20221 cited

On Efficient Online Imitation Learning via Classification

Yichen Li, Chicheng Zhang

Imitation learning (IL) is a general learning paradigm for tackling sequential decision-making problems. Interactive imitation learning, where learners can interactively query for…

cs.LG2022

Margin-distancing for safe model explanation

Tom Yan, Chicheng Zhang

The growing use of machine learning models in consequential settings has highlighted an important and seemingly irreconcilable tension between transparency and vulnerability to gam…

cs.LG2021

SIM-ECG: A Signal Importance Mask-driven ECGClassification System

Dharma KC, Chicheng Zhang, Chris Gniady +2

Heart disease is the number one killer, and ECGs can assist in the early diagnosis and prevention of deadly outcomes. Accurate ECG interpretation is critical in detecting heart dis…

cs.CV20211 cited

Improving the trustworthiness of image classification models by utilizing bounding-box annotations

Dharma KC, Chicheng Zhang

We study utilizing auxiliary information in training data to improve the trustworthiness of machine learning models. Specifically, in the context of image classification, we propos…

cs.LG2021

Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise

Chicheng Zhang, Yinan Li

We give a computationally-efficient PAC active learning algorithm for -dimensional homogeneous halfspaces that can tolerate Massart noise (Massart and Nédélec, 2006) and Tsybako…

cs.LG2020

Multitask Bandit Learning Through Heterogeneous Feedback Aggregation

Zhi Wang, Chicheng Zhang, Manish Kumar Singh +2

In many real-world applications, multiple agents seek to learn how to perform highly related yet slightly different tasks in an online bandit learning protocol. We formulate this p…