activity
20202025
most citedUncertainty-Aware Lookahead Factor Models for Quantitative Investing

7 citations · 19 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CY2025★ 1 cited

AI Mentors for Student Projects: Spotting Early Issues in Computer Science Proposals

Gati Aher, Robin Schmucker, Tom Mitchell +1

When executed well, project-based learning (PBL) engages students' intrinsic motivation, encourages students to learn far beyond a course's limited curriculum, and prepares student…

cs.LG2024

A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns

Vibhhu Sharma, Shantanu Gupta, Nil-Jana Akpinar +2

As recommender systems become widely deployed in different domains, they increasingly influence their users' beliefs and preferences. Auditing recommender systems is crucial as it…

cs.CL2024★ 5 cited

Personalized Language Modeling from Personalized Human Feedback

Xinyu Li, Ruiyang Zhou, Zachary C. Lipton +1

Personalized large language models (LLMs) are designed to tailor responses to individual user preferences. While Reinforcement Learning from Human Feedback (RLHF) is a commonly use…

cs.CY2023★ 3 cited

Users are the North Star for AI Transparency

Alex Mei, Michael Saxon, Shiyu Chang +2

Despite widespread calls for transparent artificial intelligence systems, the term is too overburdened with disparate meanings to express precise policy aims or to orient concrete…

cs.LG2022

Off-Policy Risk Assessment in Markov Decision Processes

Audrey Huang, Liu Leqi, Zachary Chase Lipton +1

Addressing such diverse ends as safety alignment with human preferences, and the efficiency of learning, a growing line of reinforcement learning research focuses on risk functiona…

stat.AP2020★ 3 cited

Unpacking the Drop in COVID-19 Case Fatality Rates: A Study of National and Florida Line-Level Data

Cheng Cheng, Helen Zhou, Jeremy C. Weiss +1

Since the COVID-19 pandemic first reached the United States, the case fatality rate has fallen precipitously. Several possible explanations have been floated, including greater det…

q-fin.ST2020★ 7 cited

Uncertainty-Aware Lookahead Factor Models for Quantitative Investing

Lakshay Chauhan, John Alberg, Zachary C. Lipton

On a periodic basis, publicly traded companies report fundamentals, financial data including revenue, earnings, debt, among others. Quantitative finance research has identified sev…