Kody J. H. Law

Chair (Prof), University of Manchester

Joined

May 2021

Names

Kody J. H. Law (Preferred)

Kody Law

Emails

****@gmail.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Chair (Prof)

University of Manchester (manchester.ac.uk)

2018 – Present

Principal Researcher

Meta Platforms, Inc (meta.com)

2022 – 2024

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles
Xinzhu Liang, Joseph Lukens, Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Xin Qiu, Kody J. H. Law
- ICLR 2026 Trustworthy AI
- Readers: Everyone
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles
Xinzhu Liang, Joseph Lukens, Sanjaya Lohani, Brian T. Kirby, Thomas A. Searles, Xin Qiu, Kody J. H. Law
- Submitted to ICLR 2026
- Readers: Everyone
Hierarchical Implicit/Explicit Feedback Recommender System
Kody J. H. Law
- NeurIPS 2025 Workshop MLxOR
- Readers: Everyone
Scalable Bayesian Monte Carlo: fast uncertainty estimation beyond deep ensembles
Xinzhu Liang, Joseph Lukens, Brian T. Kirby, Thomas A. Searles, Sanjaya Lohani, Xin Qiu, Kody J. H. Law
- SPIGM @ NeurIPS
- Readers: Everyone
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
Shangda Yang, Vitaly Zankin, Maximilian Balandat, Stefan Scherer, Kevin Thomas Carlberg, Neil Walton, Kody J. H. Law
- ICML 2024 Poster
- Readers: Everyone
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
Shangda Yang, Vitaly Zankin, Maximilian Balandat, Stefan Scherer, Kevin Carlberg, Neil Walton, Kody J. H. Law
- CoRR 2024
- Readers: Everyone
SMC Is All You Need: Parallel Strong Scaling
Xinzhu Liang, Sanjaya Lohani, Joseph M. Lukens, Brian T. Kirby, Thomas A. Searles, Kody J. H. Law
- CoRR 2024
- Readers: Everyone
Fast deep mixtures of Gaussian process experts
Clement Etienam, Kody J. H. Law, Sara Wade, Vitaly Zankin
- Mach. Learn. 2024
- Readers: Everyone
A randomized multi-index sequential Monte Carlo method
Xinzhu Liang, Shangda Yang, Simon L. Cotter, Kody J. H. Law
- Stat. Comput. 2023
- Readers: Everyone
On Unbiased Estimation for Discretized Models
Jeremy Heng, Ajay Jasra, Kody J. H. Law, Alexander Tarakanov
- SIAM/ASA J. Uncertain. Quantification 2023
- Readers: Everyone

View all 45 publications

Co-Authors

View all 69 co-authors