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ORCIDChristopher Harshaw
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- affiliation: Yale University, CT, USA
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2020 – today
- 2023
[j3]Moran Feldman, Christopher Harshaw, Amin Karbasi:
How Do You Want Your Greedy: Simultaneous or Repeated? J. Mach. Learn. Res. 24: 72:1-72:87 (2023)- [c7]Jessica Dai, Paula Gradu, Christopher Harshaw:
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments. NeurIPS 2023 - [i7]Jessica Dai, Paula Gradu, Christopher Harshaw:
Clip-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments. CoRR abs/2305.17187 (2023) - 2022
- [j2]Christopher Harshaw
, Ehsan Kazemi, Moran Feldman, Amin Karbasi:
The Power of Subsampling in Submodular Maximization. Math. Oper. Res. 47(2): 1365-1393 (2022) - [c6]Christopher Harshaw, Fredrik Sävje, David Eisenstat, Vahab Mirrokni, Jean Pouget-Abadie:
Design and Analysis of Bipartite Experiments Under a Linear Exposure-response Model. EC 2022: 606 - 2021
- [i6]Christopher Harshaw, Ehsan Kazemi, Moran Feldman, Amin Karbasi:
The Power of Subsampling in Submodular Maximization. CoRR abs/2104.02772 (2021) - 2020
- [j1]Dilantha Haputhanthri, Gunavaran Brihadiswaran, Sahan Gunathilaka, Dulani Meedeniya, Sampath Jayarathna, Mark Jaime, Christopher Harshaw:
Integration of Facial Thermography in EEG-based Classification of ASD. Int. J. Autom. Comput. 17(6): 837-854 (2020) - [i5]Moran Feldman, Christopher Harshaw, Amin Karbasi:
Simultaneous Greedys: A Swiss Army Knife for Constrained Submodular Maximization. CoRR abs/2009.13998 (2020)
2010 – 2019
- 2019
- [c5]Chris Harshaw, Moran Feldman, Justin Ward, Amin Karbasi:
Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications. ICML 2019: 2634-2643 - [c4]Omid Alipourfard, Jiaqi Gao, Jérémie Koenig, Chris Harshaw, Amin Vahdat, Minlan Yu:
Risk based planning of network changes in evolving data centers. SOSP 2019: 414-429 - [i4]Christopher Harshaw, Moran Feldman, Justin Ward, Amin Karbasi:
Submodular Maximization Beyond Non-negativity: Guarantees, Fast Algorithms, and Applications. CoRR abs/1904.09354 (2019) - [i3]Christopher Harshaw, Fredrik Sävje, Daniel A. Spielman, Peng Zhang:
Balancing covariates in randomized experiments using the Gram-Schmidt walk. CoRR abs/1911.03071 (2019) - 2018
- [c3]Lin Chen, Christopher Harshaw, Hamed Hassani, Amin Karbasi:
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity. ICML 2018: 813-822 - 2017
- [c2]Moran Feldman, Christopher Harshaw, Amin Karbasi:
Greed Is Good: Near-Optimal Submodular Maximization via Greedy Optimization. COLT 2017: 758-784 - [i2]Moran Feldman, Christopher Harshaw, Amin Karbasi:
Greed is Good: Near-Optimal Submodular Maximization via Greedy Optimization. CoRR abs/1704.01652 (2017) - 2016
- [c1]Christopher R. Harshaw, Robert A. Bridges, Michael D. Iannacone, Joel W. Reed, John R. Goodall:
GraphPrints: Towards a Graph Analytic Method for Network Anomaly Detection. CISRC 2016: 15:1-15:4 - [i1]Christopher R. Harshaw, Robert A. Bridges, Michael D. Iannacone, Joel W. Reed, John R. Goodall:
GraphPrints: Towards a Graph Analytic Method for Network Anomaly Detection. CoRR abs/1602.01130 (2016)
Coauthor Index
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