Applications of the Quantum Algorithm for st-Connectivity. - Kai DeLorenzo; Shelby Kimmel; R. Teal Witter (TQC, 2019)

Applications of Graph Theory and Probability in the Board Game Ticket to Ride. - R. Teal Witter; Alex Lyford (FDG, 2020)

Backgammon Is Hard. - R. Teal Witter (COCOA, 2021)

A Query-Efficient Quantum Algorithm for Maximum Matching on General Graphs. - Shelby Kimmel; R. Teal Witter (WADS, 2021)

How to Quantify Polarization in Models of Opinion Dynamics. - Christopher Musco; Indu Ramesh; Johan Ugander; R. Teal Witter (CoRR, 2021)

A Local Search Algorithm for the Min-Sum Submodular Cover Problem. - Lisa Hellerstein; Thomas Lidbetter; R. Teal Witter (ISAAC, 2022)

Adaptivity gap of the SBFE problem. - Lisa Hellerstein; Devorah Kletenik; Naifeng Liu; R. Teal Witter (ISAIM, 2022)

A Local Search Algorithm for the Min-Sum Submodular Cover Problem. - R. Teal Witter (ISAIM, 2022)

Adaptivity Gaps for the Stochastic Boolean Function Evaluation Problem. - Lisa Hellerstein; Devorah Kletenik; Naifeng Liu; R. Teal Witter (WAOA, 2022)

Counterfactual Fairness Is Basically Demographic Parity. - Lucas Rosenblatt; R. Teal Witter (AAAI, 2023)

Robust and Space-Efficient Dual Adversary Quantum Query Algorithms. - Michael Czekanski; Shelby Kimmel; R. Teal Witter (ESA, 2023)

I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives. - R. Teal Witter; Lucas Rosenblatt (AAAI, 2024)

Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm. - R. Teal Witter; Christopher Musco (NeurIPS, 2024)

Minimizing Cost Rather Than Maximizing Reward in Restless Multi-Armed Bandits. - R. Teal Witter; Lisa Hellerstein (CoRR, 2024)

FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness. - Lucas Rosenblatt; R. Teal Witter (CoRR, 2024)

Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Values. - Yurong Liu; R. Teal Witter; Flip Korn; Tarfah Alrashed; Dimitris Paparas; Juliana Freire (CoRR, 2024)

Hidden in the Noise: Two-Stage Robust Watermarking for Images. - Kasra Arabi; Benjamin Feuer; R. Teal Witter; Chinmay Hegde; Niv Cohen (ICLR, 2025)

Provably Accurate Shapley Value Estimation via Leverage Score Sampling. - Christopher Musco; R. Teal Witter (ICLR, 2025)

SEAL: Semantic Aware Image Watermarking. - Kasra Arabi; R. Teal Witter; Chinmay Hegde; Niv Cohen (CoRR, 2025)

Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values. - R. Teal Witter; Yurong Liu; Christopher Musco (CoRR, 2025)