Christopher Harshaw

According to our database, Christopher Harshaw authored at least 12 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

How Do You Want Your Greedy: Simultaneous or Repeated?

Moran Feldman, Christopher Harshaw, Amin Karbasi

J. Mach. Learn. Res., 2023

CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments.

Jessica Dai, Paula Gradu, Christopher Harshaw

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

The Power of Subsampling in Submodular Maximization.

Christopher Harshaw, Ehsan Kazemi, Moran Feldman, Amin Karbasi

Math. Oper. Res., 2022

Design and Analysis of Bipartite Experiments Under a Linear Exposure-response Model.

Christopher Harshaw, Fredrik Sävje, David Eisenstat, Vahab Mirrokni, Jean Pouget-Abadie

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

2020

Integration of Facial Thermography in EEG-based Classification of ASD.

Dilantha Haputhanthri, Gunavaran Brihadiswaran, Sahan Gunathilaka, Dulani Meedeniya, Sampath Jayarathna, Mark Jaime, Christopher Harshaw

Int. J. Autom. Comput., 2020

Simultaneous Greedys: A Swiss Army Knife for Constrained Submodular Maximization.

Moran Feldman, Christopher Harshaw, Amin Karbasi

CoRR, 2020

2019

Balancing covariates in randomized experiments using the Gram-Schmidt walk.

Christopher Harshaw, Fredrik Sävje, Daniel A. Spielman, Peng Zhang

CoRR, 2019

Risk based planning of network changes in evolving data centers.

Omid Alipourfard, Jiaqi Gao, Jérémie Koenig, Chris Harshaw, Amin Vahdat, Minlan Yu

Proceedings of the 27th ACM Symposium on Operating Systems Principles, 2019

Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications.

Chris Harshaw, Moran Feldman, Justin Ward, Amin Karbasi

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity.

Lin Chen, Christopher Harshaw, Hamed Hassani, Amin Karbasi

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Greed Is Good: Near-Optimal Submodular Maximization via Greedy Optimization.

Moran Feldman, Christopher Harshaw, Amin Karbasi

Proceedings of the 30th Conference on Learning Theory, 2017

2016

GraphPrints: Towards a Graph Analytic Method for Network Anomaly Detection.

Christopher R. Harshaw, Robert A. Bridges, Michael D. Iannacone, Joel W. Reed, John R. Goodall

Proceedings of the 11th Annual Cyber and Information Security Research Conference, 2016