Michael Shavlovsky

Joined

July 2019

Names

Michael Shavlovsky

Emails

****@gmail.com (Confirmed)

****@amazon.com (Confirmed)

****@adobe.com (Confirmed)

Personal Links

DBLP

Career & Education History

PhD student

Search Relevance , Amazon (amazon.com)

2017 – 2024

PhD student

Computer Science , University of California, Santa Cruz (ucsc.edu)

2011 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Luca de Alfaro

2012 – 2017

Expertise

No areas of expertise listed

Publications

GiVA: Gradient-Informed Bases for Vector-Based Adaptation
Neeraj Gangwar, Rishabh Deshmukh, Michael Shavlovsky, Hancao Li, Vivek Mittal, Lexing Ying, Nickvash Kani
- AISTATS 2026 Spotlight
- Readers: Everyone
COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework
Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian
- UAI 2025 Poster
- Readers: Everyone
HyperDPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework
Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian
- FITML 2024 Poster
- Readers: Everyone
HyperDPO: Hypernetwork-based Multi-Objective Fine-Tuning Framework
Yinuo Ren, Tesi Xiao, Michael Shavlovsky, Lexing Ying, Holakou Rahmanian
- Submitted to ICLR 2025
- Readers: Everyone
An efficient algorithm for entropic optimal transport under martingale-type constraints
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Tesi Xiao, Lexing Ying
- Submitted to ICLR 2025
- Readers: Everyone
A Sinkhorn-type Algorithm for Constrained Optimal Transport
Xun Tang, Holakou Rahmanian, Michael Shavlovsky, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
- Submitted to ICLR 2025
- Readers: Everyone
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, sujay sanghavi
- Accepted by TMLR
- Readers: Everyone
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, sujay sanghavi
- 2nd SPIGM @ ICML Poster
- Readers: Everyone
Accelerating Sinkhorn algorithm with sparse Newton iterations
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
- ICLR 2024
- Readers: Everyone
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
Xun Tang, Michael Shavlovsky, Holakou Rahmanian, Elisa Tardini, Kiran Koshy Thekumparampil, Tesi Xiao, Lexing Ying
- CoRR 2024
- Readers: Everyone

View all 26 publications

Co-Authors

View all 35 co-authors