Pedarsani, Ramtin

16 publications

AAAI 2025 Inverse Reinforcement Learning by Estimating Expertise of Demonstrators Mark Beliaev, Ramtin Pedarsani

ICML 2025 SPEX: Scaling Feature Interaction Explanations for LLMs Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Bin Yu, Kannan Ramchandran

ICLRW 2025 SPEX: Scaling Feature Interaction Explanations for LLMs Justin Singh Kang, Landon Butler, Abhineet Agarwal, Yigit Efe Erginbas, Ramtin Pedarsani, Bin Yu, Kannan Ramchandran

NeurIPS 2024 Learning to Understand: Identifying Interactions via the Möbius Transform Justin Singh Kang, Yigit Efe Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran

TMLR 2024 The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning Justin Singh Kang, Ramtin Pedarsani, Kannan Ramchandran

ICLR 2023 Equal Improvability: A New Fairness Notion Considering the Long-Term Impact Ozgur Guldogan, Yuchen Zeng, Jy-yong Sohn, Ramtin Pedarsani, Kangwook Lee

TMLR 2023 Straggler-Resilient Personalized Federated Learning Isidoros Tziotis, Zebang Shen, Ramtin Pedarsani, Hamed Hassani, Aryan Mokhtari

NeurIPSW 2023 The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning Justin Singh Kang, Kannan Ramchandran, Ramtin Pedarsani

ICML 2022 Imitation Learning by Estimating Expertise of Demonstrators Mark Beliaev, Andy Shih, Stefano Ermon, Dorsa Sadigh, Ramtin Pedarsani

AISTATS 2021 Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis

IJCAI 2021 Emergent Prosociality in Multi-Agent Games Through Gifting Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh

AISTATS 2020 FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh, Aryan Mokhtari, Hamed Hassani, Ali Jadbabaie, Ramtin Pedarsani

ICML 2020 Quantized Decentralized Stochastic Learning over Directed Graphs Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani

NeurIPS 2020 Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh, Farzan Farnia, Ramtin Pedarsani, Ali Jadbabaie

AISTATS 2020 Sharp Asymptotics and Optimal Performance for Inference in Binary Models Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis

NeurIPS 2019 Robust and Communication-Efficient Collaborative Learning Amirhossein Reisizadeh, Hossein Taheri, Aryan Mokhtari, Hamed Hassani, Ramtin Pedarsani