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Author search results
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- Nicholas J. A. Harvey
aka: Nick Harvey
University of British Columbia, Vancouver, Canada - Nicholas C. Harvey
- Nicholas Harvey-Lees-Green
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Publication search results
found 104 matches
- 2024
- Thomas A. Cox, Sasan Mahmoodi, Elizabeth M. Curtis, Nicholas R. Fuggle, Rebecca J. Moon, Kate A. Ward, Leo D. Westbury, Nicholas C. Harvey:
An Algorithmic Approach for Quantitative Motion Artefact Grading in HRpQCT Medical Imaging. ICPRAM 2024: 833-840 - Nicholas Harvey
, Arvin Sahami
:
Explicit Orthogonal Arrays and Universal Hashing with Arbitrary Parameters. STOC 2024: 1259-1267 - Victor S. Portella, Nick Harvey:
Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes. CoRR abs/2404.17714 (2024) - Nicholas Harvey, Arvin Sahami:
Explicit Orthogonal Arrays and Universal Hashing with Arbitrary Parameters. CoRR abs/2405.08787 (2024) - 2023
- Kai J. Miller
, Klaus-Robert Müller
, Gabriela Ojeda Valencia, Harvey Huang, Nicholas M. Gregg
, Gregory A. Worrell, Dora Hermes:
Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation. PLoS Comput. Biol. 19(5) (2023) - Frederik Kunstner, Victor Sanches Portella, Mark Schmidt, Nicholas J. A. Harvey:
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking. NeurIPS 2023 - Frederik Kunstner, Victor S. Portella, Mark Schmidt, Nick Harvey:
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking. CoRR abs/2306.02527 (2023) - 2022
- Huang Fang, Nicholas J. A. Harvey, Victor S. Portella, Michael P. Friedlander:
Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case. J. Mach. Learn. Res. 23: 121:1-121:38 (2022) - Laura Greenstreet, Nicholas J. A. Harvey, Victor Sanches Portella:
Efficient and Optimal Fixed-Time Regret with Two Experts. ALT 2022: 436-464 - Raja Ebsim
, Benjamin G. Faber
, Fiona C. Saunders
, Monika Frysz, Jennifer S. Gregory, Nicholas C. Harvey
, Jonathan H. Tobias, Claudia Lindner, Timothy F. Cootes:
Automatic Segmentation of Hip Osteophytes in DXA Scans Using U-Nets. MICCAI (5) 2022: 3-12 - Laura Greenstreet
, Nicholas J. A. Harvey, Victor Sanches Portella:
Efficient and Optimal Fixed-Time Regret with Two Experts. CoRR abs/2203.07577 (2022) - Victor Sanches Portella, Christopher Liaw, Nicholas J. A. Harvey:
Continuous Prediction with Experts' Advice. CoRR abs/2206.00236 (2022) - 2020
- Hassan Ashtiani, Shai Ben-David, Nicholas J. A. Harvey, Christopher Liaw, Abbas Mehrabian
, Yaniv Plan:
Near-optimal Sample Complexity Bounds for Robust Learning of Gaussian Mixtures via Compression Schemes. J. ACM 67(6): 32:1-32:42 (2020) - Nicholas J. A. Harvey, Jan Vondrák:
An Algorithmic Proof of the Lovász Local Lemma via Resampling Oracles. SIAM J. Comput. 49(2): 394-428 (2020) - Mohsen Farzi
, Jose M. Pozo
, Eugene V. McCloskey, Richard Eastell, Nicholas Harvey
, J. Mark Wilkinson
, Alejandro F. Frangi
:
A Spatio-Temporal Ageing Atlas of the Proximal Femur. IEEE Trans. Medical Imaging 39(5): 1359-1368 (2020) - Nicholas J. A. Harvey, Christopher Liaw, Edwin A. Perkins, Sikander Randhawa:
Optimal anytime regret for two experts. FOCS 2020: 1404-1415 - Huang Fang, Nick Harvey, Victor S. Portella, Michael P. Friedlander:
Online mirror descent and dual averaging: keeping pace in the dynamic case. ICML 2020: 3008-3017 - Nicholas J. A. Harvey, Christopher Liaw, Tasuku Soma:
Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds. NeurIPS 2020 - Yihan Zhou, Victor S. Portella, Mark Schmidt, Nicholas J. A. Harvey:
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses. NeurIPS 2020 - Nicholas J. A. Harvey, Christopher Liaw, Edwin A. Perkins, Sikander Randhawa:
Optimal anytime regret with two experts. CoRR abs/2002.08994 (2020) - Huang Fang, Nicholas J. A. Harvey, Victor S. Portella, Michael P. Friedlander:
Online mirror descent and dual averaging: keeping pace in the dynamic case. CoRR abs/2006.02585 (2020) - Rebecca Vandenberg, Madison A. Elliott, Nicholas Harvey, Tamara Munzner:
LSQT: Low-Stretch Quasi-Trees for Bundling and Layout. CoRR abs/2007.06237 (2020) - Yihan Zhou, Victor S. Portella, Mark Schmidt, Nicholas J. A. Harvey:
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses. CoRR abs/2010.12033 (2020) - 2019
- Peter L. Bartlett, Nick Harvey, Christopher Liaw, Abbas Mehrabian:
Nearly-tight VC-dimension and Pseudodimension Bounds for Piecewise Linear Neural Networks. J. Mach. Learn. Res. 20: 63:1-63:17 (2019) - Ethan L. Stewart, Tyr Wiesner-Hanks, Nicholas Kaczmar, Chad DeChant, Harvey Wu, Hod Lipson
, Rebecca J. Nelson, Michael A. Gore
:
Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning. Remote. Sens. 11(19): 2209 (2019) - Wai Shing Fung, Ramesh Hariharan, Nicholas J. A. Harvey, Debmalya Panigrahi:
A General Framework for Graph Sparsification. SIAM J. Comput. 48(4): 1196-1223 (2019) - Nicholas J. A. Harvey, Christopher Liaw, Yaniv Plan, Sikander Randhawa:
Tight analyses for non-smooth stochastic gradient descent. COLT 2019: 1579-1613 - Nicholas J. A. Harvey, Christopher Liaw, Sikander Randhawa:
Simple and optimal high-probability bounds for strongly-convex stochastic gradient descent. CoRR abs/1909.00843 (2019) - 2018
- Maria-Florina Balcan, Nicholas J. A. Harvey:
Submodular Functions: Learnability, Structure, and Optimization. SIAM J. Comput. 47(3): 703-754 (2018) - Hassan Ashtiani, Shai Ben-David, Nicholas J. A. Harvey, Christopher Liaw, Abbas Mehrabian, Yaniv Plan:
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes. NeurIPS 2018: 3416-3425
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