Rosie Zhao

According to our database, Rosie Zhao authored at least 22 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models.

Samy Jelassi, Mujin Kwun, Rosie Zhao, Yuanzhi Li, Nicolò Fusi, Yilun Du, Sham M. Kakade, Carles Domingo-Enrich

CoRR, March, 2026

GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon.

Arya Tschand, Chenyu Wang, Zishen Wan, Andrew Cheng, Ioana Cristescu, Kevin He, Howard Huang, Alexander Ingare, Akseli Kangaslahti, Sara Kangaslahti, Theo Lebryk, Hongjin Lin, Jeffrey Jian Ma, Alexandru Meterez, Clara Mohri, Depen Morwani, Sunny Qin, Roy Rinberg, Paula Rodriguez Diaz, Alyssa Mia Taliotis, Pernille Undrum Fathi, Rosie Zhao, Todd Zhou, Vijay Janapa Reddi

CoRR, February, 2026

On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs.

Rosie Zhao, Anshul Shah, Xiaoyu Zhu, Xinke Deng, Zhongyu Jiang, Yang Yang, Joerg Liebelt, Arnab Mondal

CoRR, February, 2026

2025

Inside you are many wolves: Using cognitive models to interpret value trade-offs in LLMs.

Sonia K. Murthy, Rosie Zhao, Jennifer Hu, Sham M. Kakade, Markus Wulfmeier, Peng Qian, Tomer D. Ullman

CoRR, June, 2025

Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining.

Rosie Zhao, Alexandru Meterez, Sham M. Kakade, Cengiz Pehlevan, Samy Jelassi, Eran Malach

CoRR, April, 2025

Distributional Scaling Laws for Emergent Capabilities.

Rosie Zhao, Tian Qin, David Alvarez-Melis, Sham M. Kakade, Naomi Saphra

CoRR, February, 2025

Deconstructing What Makes a Good Optimizer for Autoregressive Language Models.

Rosie Zhao, Depen Morwani, David Brandfonbrener, Nikhil Vyas, Sham M. Kakade

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling.

Nikhil Vyas, Depen Morwani, Rosie Zhao, Itai Shapira, David Brandfonbrener, Lucas Janson, Sham M. Kakade

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Policy Gradient Methods in the Presence of Symmetries and State Abstractions.

Prakash Panangaden, Sahand Rezaei-Shoshtari, Rosie Zhao, David Meger, Doina Precup

J. Mach. Learn. Res., 2024

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration.

Aiden Lewington, Alekhya Vittalam, Anshumaan Singh, Anuja Uppuluri, Arjun Ashok, Ashrith Mandayam Athmaram, Austin Milt, Benjamin Smith, Charlie Weinberger, Chatanya Sarin, Christoph Bergmeir, Cliff Chang, Daivik Patel, Daniel Li, David Bell, Defu Cao, Donghwa Shin, Edward Kang, Edwin Zhang, Enhui Li, Felix Chen, Gabe Smithline, Haipeng Chen, Henry Gasztowtt, Hoon Shin, Jiayun Zhang, Joshua Gray, Khai Hern Low, Kishan Patel, Lauren Hannah Cooke, Marco Burstein, Maya Kalapatapu, Mitali Mittal, Raymond Chen, Rosie Zhao, Sameen Majid, Samya Potlapalli, Shang Wang, Shrenik Patel, Shuheng Li, Siva Komaragiri, Song Lu, Sorawit Siangjaeo, Sunghoo Jung, Tianyu Zhang, Valery Mao, Vikram Krishnakumar, Vincent Zhu, Wesley Kam, Xingzhe Li, Yumeng Liu

CoRR, 2024

SOAP: Improving and Stabilizing Shampoo using Adam.

Nikhil Vyas, Depen Morwani, Rosie Zhao, Itai Shapira, David Brandfonbrener, Lucas Janson, Sham M. Kakade

CoRR, 2024

Deconstructing What Makes a Good Optimizer for Language Models.

Rosie Zhao, Depen Morwani, David Brandfonbrener, Nikhil Vyas, Sham M. Kakade

CoRR, 2024

Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning.

Nikhil Vyas, Depen Morwani, Rosie Zhao, Gal Kaplun, Sham M. Kakade, Boaz Barak

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Feature emergence via margin maximization: case studies in algebraic tasks.

Depen Morwani, Benjamin L. Edelman, Costin-Andrei Oncescu, Rosie Zhao, Sham M. Kakade

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the peel number and the leaf-height of Galton-Watson trees.

Luc Devroye, Marcel K. Goh, Rosie Y. Zhao

Comb. Probab. Comput., January, 2023

Loss of Plasticity in Continual Deep Reinforcement Learning.

Zaheer Abbas, Rosie Zhao, Joseph Modayil, Adam White, Marlos C. Machado

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Boolean functions with small approximate spectral norm.

TsunMing Cheung, Hamed Hatami, Rosie Zhao, Itai Zilberstein

Electron. Colloquium Comput. Complex., 2022

Leaf multiplicity in a Bienaymé-Galton-Watson tree.

Anna M. Brandenberger, Luc Devroye, Marcel K. Goh, Rosie Zhao

Discret. Math. Theor. Comput. Sci., 2022

Continuous MDP Homomorphisms and Homomorphic Policy Gradient.

Sahand Rezaei-Shoshtari, Rosie Zhao, Prakash Panangaden, David Meger, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Lower Bound Methods for Sign-Rank and Their Limitations.

Hamed Hatami, Pooya Hatami, William Pires, Ran Tao, Rosie Zhao

Proceedings of the Approximation, 2022

2021

Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management.

Mikael Brunila, Rosie Zhao, Andrei Mircea, Sam Lumley, Renée Sieber

CoRR, 2021

2020

A Study of Policy Gradient on a Class of Exactly Solvable Models.

Gavin McCracken, Colin Daniels, Rosie Zhao, Anna M. Brandenberger, Prakash Panangaden, Doina Precup

CoRR, 2020