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Nicholas J. A. Harvey

◀ ▶ joint publications with Christopher Liaw

> Home > Persons > Nicholas J. A. Harvey

Publications

2022
[i18]
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  - journals/corr/abs-2206-00236
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Victor Sanches Portella, Christopher Liaw, Nicholas J. A. Harvey:
Continuous Prediction with Experts' Advice. CoRR abs/2206.00236 (2022)
2020
[j16]
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  - journals/jacm/AshtianiBHLMP20
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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)
[c39]
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  - conf/focs/HarveyLPR20
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Nicholas J. A. Harvey, Christopher Liaw, Edwin A. Perkins, Sikander Randhawa:
Optimal anytime regret for two experts. FOCS 2020: 1404-1415
[c37]
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  - conf/nips/HarveyLS20
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Nicholas J. A. Harvey, Christopher Liaw, Tasuku Soma:
Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds. NeurIPS 2020
[i17]
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  - journals/corr/abs-2002-08994
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Nicholas J. A. Harvey, Christopher Liaw, Edwin A. Perkins, Sikander Randhawa:
Optimal anytime regret with two experts. CoRR abs/2002.08994 (2020)
2019
[j14]
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  - journals/jmlr/BartlettHLM19
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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)
[c35]
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  - conf/colt/HarveyLPR19
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Nicholas J. A. Harvey, Christopher Liaw, Yaniv Plan, Sikander Randhawa:
Tight analyses for non-smooth stochastic gradient descent. COLT 2019: 1579-1613
[i14]
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  - journals/corr/abs-1909-00843
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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
[c34]
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  - conf/nips/AshtianiBHLMP18
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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
[c32]
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  - conf/spaa/HarveyLL18
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Nicholas J. A. Harvey, Christopher Liaw, Paul Liu:
Greedy and Local Ratio Algorithms in the MapReduce Model. SPAA 2018: 43-52
[i13]
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  - journals/corr/abs-1806-06421
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Nicholas J. A. Harvey, Christopher Liaw, Paul Liu:
Greedy and Local Ratio Algorithms in the MapReduce Model. CoRR abs/1806.06421 (2018)
[i12]
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  - journals/corr/abs-1812-05217
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Nicholas J. A. Harvey, Christopher Liaw, Yaniv Plan, Sikander Randhawa:
Tight Analyses for Non-Smooth Stochastic Gradient Descent. CoRR abs/1812.05217 (2018)
2017
[j11]
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  - journals/dm/HarveyL17
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Nicholas J. A. Harvey, Christopher Liaw:
Rainbow Hamilton cycles and lopsidependency. Discret. Math. 340(6): 1261-1270 (2017)
[c31]
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Nick Harvey, Christopher Liaw, Abbas Mehrabian:
Nearly-tight VC-dimension bounds for piecewise linear neural networks. COLT 2017: 1064-1068
[i11]
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Nick Harvey, Christopher Liaw, Abbas Mehrabian:
Nearly-tight VC-dimension bounds for piecewise linear neural networks. CoRR abs/1703.02930 (2017)

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