Poster Abstract: Contextual Air Conditioning Disaggregation with Probabilistic Soft Logic. - Sabina Tomkins; Lise Getoor (BuildSys, 2015)

Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study. - Sabina Tomkins; Arti Ramesh; Lise Getoor (EDM, 2016)

Disambiguating Energy Disaggregation: A Collective Probabilistic Approach. - Sabina Tomkins; Jay Pujara; Lise Getoor (IJCAI, 2017)

A Socio-linguistic Model for Cyberbullying Detection. - Sabina Tomkins; Lise Getoor; Yunfei Chen 003; Yi Zhang 001 (ASONAM, 2018)

The Impact of Environmental Stressors on Human Trafficking. - Sabina Tomkins; Golnoosh Farnadi; Brian Amanatullah; Lise Getoor; Steven Minton (ICDM, 2018)

Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations. - Sabina Tomkins; Steven Isley; Ben London 001; Lise Getoor (RecSys, 2018)

Personalizing Intervention Probabilities By Pooling. - Sabina Tomkins; Predrag V. Klasnja; Susan A. Murphy (CoRR, 2018)

Probabilistic Methods for Data-Driven Social Good. - Sabina Tomkins (2018)

Rapidly Personalizing Mobile Health Treatment Policies with Limited Data. - Sabina Tomkins; Peng Liao; Predrag V. Klasnja; Serena Yeung; Susan A. Murphy (CoRR, 2020)

Streamlined Empirical Bayes Fitting of Linear Mixed Models in Mobile Health. - Marianne Menictas; Sabina Tomkins; Susan A. Murphy (CoRR, 2020)

Fast Physical Activity Suggestions: Efficient Hyperparameter Learning in Mobile Health. - Marianne Menictas; Sabina Tomkins; Susan A. Murphy (CoRR, 2020)

IntelligentPooling: practical Thompson sampling for mHealth. - Sabina Tomkins; Peng Liao; Predrag V. Klasnja; Susan A. Murphy (Mach. Learn., 2021)

Doubly robust nearest neighbors in factor models. - Raaz Dwivedi; Katherine Tian; Sabina Tomkins; Predrag V. Klasnja; Susan A. Murphy; Devavrat Shah (CoRR, 2022)

SUSTAINABLESIGNALS: An AI Approach for Inferring Consumer Product Sustainability. - Tong Lin 005; Tianliang Xu; Amit Zac; Sabina Tomkins (IJCAI, 2023)

The Disparate Impacts of College Admissions Policies on Asian American Applicants. - Joshua Grossman; Sabina Tomkins; Lindsay Page; Sharad Goel (CoRR, 2023)

Tab2Text - A framework for deep learning with tabular data. - Tong Lin 005; Jason Yan; David Jurgens; Sabina Tomkins (EMNLP (Findings), 2024)

PUBLICSPEAK: Hearing the Public with a Probabilistic Framework. - Tianliang Xu; Eva Maxfield Brown; Dustin Dwyer; Sabina Tomkins (AAAI, 2025)

Algorithms in the Stacks: Investigating automated, for-profit diversity audits in public libraries. - Melanie Walsh; Connor Rey; Chang Ge 012; Tina Nowak; Sabina Tomkins (FAccT, 2025)

What Do You Learn About Hard News from Soft News Outlets - A Case Study from People Magazine Online. - Jason Yan; Kerri Milita; Yanna Krupnikov; Sabina Tomkins (ICWSM, 2025)

PUBLICSPEAK: Hearing the Public with a Probabilistic Framework in Local Government. - Tianliang Xu; Eva Maxfield Brown; Dustin Dwyer; Sabina Tomkins (CoRR, 2025)

Algorithms in the Stacks: Investigating automated, for-profit diversity audits in public libraries. - Melanie Walsh; Connor Franklin Rey; Chang Ge 012; Tina Nowak; Sabina Tomkins (CoRR, 2025)

Identity isn't everything - how far do demographics take us towards self-identified party ID? - Sabina Tomkins; David Rothschild; Alex Liu; Alexander Thompson (CoRR, 2025)

What does the public want their local government to hear? A data-driven case study of public comments across the state of Michigan. - Chang Ge 012; Justine Zhang; Haofei Xu; Yanna Krupnikov; Jenna Bednar; Sabina Tomkins (CoRR, 2025)