CrispEdit: Low-Curvature Projections for Scalable Non-Destructive LLM Editing

Zarif Ikram, Arad Firouzkouhi, Stephen Tu, Mahdi Soltanolkotabi, Paria Rashidinejad

Reuse Your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes

Amrith Setlur, Zijian Wang, Andrew Cohen, Paria Rashidinejad*, Sang Michael Xie*
*equal advising

SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models

Chenyu Wang, Paria Rashidinejad, DiJia Su, Song Jiang, Sid Wang, Siyan Zhao, Cai Zhou, Shannon Zejiang Shen, Feiyu Chen, Tommi Jaakkola, Yuandong Tian, Bo Liu

Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking

Paria Rashidinejad, Yuandong Tian

Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning

Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao

Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian

Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao

Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism

Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell

MADE: Exploration via Maximizing Deviation from Explored Regions

Tianjun Zhang*, Paria Rashidinejad*, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell
*equal contribution

Patient-Adaptable Intracranial Pressure Morphology Analysis Using a Probabilistic Model-Based Approach

Paria Rashidinejad, Xiao Hu, Stuart Russell

SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory

Paria Rashidinejad, Jiantao Jiao, Stuart Russell

Techniques for Accurately Estimating the Reliability of Storage Systems

Paria Rashidinejad, Navaneeth Jamadagni, Arun Raghavan, Craig Schelp, Charles Gordon