Vladimir Feinberg

Researcher, Google

Joined

January 2023

Names

Vladimir Feinberg (Preferred)

Emails

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Google (google.com)

2021 – Present

PhD student

Electrical Engineering & Computer Science Department, University of California, Berkeley (eecs.berkeley.edu)

2017 – 2018

Undergrad student

Princeton University (princeton.edu)

2013 – 2017

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

FutureFill: Fast Generation from Convolutional Sequence Models
Naman Agarwal, Xinyi Chen, Evan Dogariu, Devan Shah, Hubert Strauss, Vladimir Feinberg, Daniel Suo, Peter Bartlett, Elad Hazan
- ICLR 2026 Poster
- Readers: Everyone
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
Ankit Singh Rawat, Veeranjaneyulu Sadhanala, Afshin Rostamizadeh, Ayan Chakrabarti, Wittawat Jitkrittum, Vladimir Feinberg, Seungyeon Kim, Hrayr Harutyunyan, Nikunj Saunshi, Zachary Nado, Rakesh Shivanna, Sashank J. Reddi, Aditya Krishna Menon, Rohan Anil, Sanjiv Kumar
- Submitted to ICLR 2026
- Readers: Everyone
A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs
Ankit Singh Rawat, Veeranjaneyulu Sadhanala, Afshin Rostamizadeh, Ayan Chakrabarti, Wittawat Jitkrittum, Vladimir Feinberg, Seungyeon Kim, Hrayr Harutyunyan, Nikunj Saunshi, Zachary Nado, Rakesh Shivanna, Sashank J. Reddi, Aditya Krishna Menon, Rohan Anil, Sanjiv Kumar
- Submitted to ICLR 2025
- Readers: Everyone
FutureFill: Fast Generation from Convolutional Sequence Models
Naman Agarwal, Xinyi Chen, Evan Dogariu, Vladimir Feinberg, Daniel Suo, Peter Bartlett, Elad Hazan
- Submitted to ICLR 2025
- Readers: Everyone
Catastrophic Token Leakage in Convolutional Sequence Modeling and How to Mitigate It
Naman Agarwal, Evan Dogariu, Xinyi Chen, Daniel Suo, Vladimir Feinberg, Elad Hazan
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions
Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun, Rohan Anil, Elad Hazan
- NeurIPS 2023 poster
- Readers: Everyone
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions
Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun, Rohan Anil, Elad Hazan
- 2023 (modified: 14 Apr 2023)
- CoRR 2023
- Readers: Everyone
Chromatic Learning for Sparse Datasets
Vladimir Feinberg, Peter Bailis
- Published: 01 Jan 2020, Last Modified: 12 May 2023
- CoRR 2020
- Readers: Everyone
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
Vladimir Feinberg, Alvin Wan, Ion Stoica, Michael I. Jordan, Joseph E. Gonzalez, Sergey Levine
- 2018 (modified: 16 May 2022)
- CoRR 2018
- Readers: Everyone
On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent
Noah Golmant, Nikita Vemuri, Zhewei Yao, Vladimir Feinberg, Amir Gholami, Kai Rothauge, Michael W. Mahoney, Joseph Gonzalez
- Published: 01 Jan 2018, Last Modified: 12 May 2023
- CoRR 2018
- Readers: Everyone

Co-Authors

View all 36 co-authors