This page lists my peer-reviewed conference papers, journal articles, and dissertation.

Conference Publications

Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation PDF

Conference on Health, Inference, and Learning, CHIL 2022 Ramtin Keramati, Omer Gottesman, Leo Anthony Celi, Finale Doshi-Velez, Emma Brunskill

Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding PDF

Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020
Hongseok Namkoong ^* , Ramtin Keramati ^* , Steve Yadlowsky ^* , Emma Brunskill

Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy PDF

The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, New York, USA
Ramtin Keramati, Chris Dann, Alex Tamkin, Emma Brunskill

Value Driven Representations for Reinforcement Learning PDF

User Modelling, Adaptation and Personalization, UMAP 2019 Ramtin Keramati, Emma Brunskill

---

Journal Publications

Significant contribution of small icebergs to the freshwater budget in Greenland fjords PDF

Communications Earth & Environment, Nature Publishing Group
Soroush Rezvanbehbahani, Leigh A Stearns, Ramtin Keramati, Siddharth Shankar, CJ van der Veen

Dynamics of the nanoneedle probe in trolling mode AFM PDF

Journal of Nanotechnology
Ahmad Abdi, Hossein Nejat Pishkenari, Ramtin Keramati, Majid Minary-Jolandan

Molecular dynamics modeling of a nanomaterials-water surface interaction PDF

Journal of Applied Physics
Hossein Nejat Pishkenari, Ramtin Keramati, Ahmad Abdi, Majid Minary-Jolandan

---

Workshop Publications

Off-policy Policy Evaluation Under Unobserved Confounding PDF

ICLR 2020: Causal Learning For Decision Making
Hongseok Namkoong ^* , Ramtin Keramati ^* , Steve Yadlowsky ^* , Emma Brunskill

Distributionally-Aware Exploration for CVaR Bandits PDF

NeurIPS 2019: Safety and Robustness in Decision Making Workshop
Alext Tamkin, Ramtin Keramati, Chris Dann, Emma Brunskill

Strategic Object Oriented Reinforcement Learning PDF

ICML 2018: Exploration in Reinforcement Learning Workshop
Ramtin Keramati, Jay Whang, Patrick Cho, Emma Brunskill

Hierarchy-Driven Exploration in Reinforcement Learning PDF

ICML 2018: Exploration in Reinforcement Learning Workshop
Evan Liu, Ramtin Keramati, Kelvin Guu, Sudarshan Seshadri, Panupong Pasupat, Percy Liang, Emma Brunskill

---

Ph.D. Dissertation

Title: Off-Policy Evaluation and Learning in Reinforcement Learning under Unobserved Confounding Link
Stanford University, June 2021
Advisor: Emma Brunskill