Nicholas J. A. Harvey

Full Professor, Computer Science, University of British Columbia

Joined

April 2019

Names

Nicholas J. A. Harvey (Preferred)

Nick Harvey

Nicholas Harvey

Emails

****@cs.ubc.ca (Confirmed)

Personal Links

Homepage

DBLP

ORCID

Career & Education History

Full Professor

Computer Science, University of British Columbia (ubc.ca)

2020 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Explicit Orthogonal Arrays and Universal Hashing with Arbitrary Parameters
Nicholas Harvey, Arvin Sahami
- Crossref
- Readers: Everyone
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
Frederik Kunstner, Victor S. Portella, Mark Schmidt, Nick Harvey
- NeurIPS 2023 poster
- Readers: Everyone
In-distribution and Out-of-distribution Generalization for Graph Neural Networks
Emmanuel Sales, Renjie Liao, Nick Harvey
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Efficient and Optimal Fixed-Time Regret with Two Experts
Laura Greenstreet, Nicholas J. A. Harvey, Victor Sanches Portella
- Published: 01 Jan 2022, Last Modified: 17 May 2023
- ALT 2022
- Readers: Everyone
Efficient and Optimal Fixed-Time Regret with Two Experts
Laura Greenstreet, Nicholas J. A. Harvey, Victor Sanches Portella
- Published: 01 Jan 2022, Last Modified: 17 May 2023
- CoRR 2022
- Readers: Everyone
Continuous Prediction with Experts' Advice
Victor Sanches Portella, Christopher Liaw, Nicholas J. A. Harvey
- Published: 01 Jan 2022, Last Modified: 17 May 2023
- CoRR 2022
- Readers: Everyone
Online mirror descent and dual averaging: keeping pace in the dynamic case
Huang Fang, Nick Harvey, Victor S. Portella, Michael P. Friedlander
- 2020 (modified: 17 May 2023)
- ICML 2020
- Readers: Everyone
An Algorithmic Proof of the Lovász Local Lemma via Resampling Oracles
Nicholas J. A. Harvey, Jan Vondrák
- Published: 01 Jan 2020, Last Modified: 17 May 2023
- SIAM J. Comput. 2020
- Readers: Everyone
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses
Yihan Zhou, Victor S. Portella, Mark Schmidt, Nicholas J. A. Harvey
- Published: 01 Jan 2020, Last Modified: 17 May 2023
- NeurIPS 2020
- Readers: Everyone
Near-optimal Sample Complexity Bounds for Robust Learning of Gaussian Mixtures via Compression Schemes
Hassan Ashtiani, Shai Ben-David, Nicholas J. A. Harvey, Christopher Liaw, Abbas Mehrabian, Yaniv Plan
- Published: 01 Jan 2020, Last Modified: 17 May 2023
- J. ACM 2020
- Readers: Everyone

View all 79 publications

Co-Authors

View all 78 co-authors