Justin Whitehouse

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Top Venues

SIGMETRICS Perform. Evaluation Rev.

USENIX Security Symposium

Publications

Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
Multi-Armed Bandits with Network Interference. CoRR (2024)
Justin Whitehouse, Christopher Jung, Vasilis Syrgkanis, Bryan Wilder, Zhiwei Steven Wu
Orthogonal Causal Calibration. CoRR (2024)
Anish Agarwal, Keegan Harris, Justin Whitehouse, Steven Z. Wu
Adaptive Principal Component Regression with Applications to Panel Data. NeurIPS (2023)
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas
Improved Self-Normalized Concentration in Hilbert Spaces: Sublinear Regret for GP-UCB. CoRR (2023)
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu
Fully-Adaptive Composition in Differential Privacy. ICML (2023)
Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu
Adaptive Principal Component Regression with Applications to Panel Data. CoRR (2023)
Justin Whitehouse, Aaditya Ramdas, Zhiwei Steven Wu
On the Sublinear Regret of GP-UCB. NeurIPS (2023)
Benjamin Berg, Justin Whitehouse, Benjamin Moseley, Weina Wang, Mor Harchol-Balter
The Case for Phase-Aware Scheduling of Parallelizable Jobs. SIGMETRICS Perform. Evaluation Rev. 49 (3) (2022)
Justin Whitehouse, Aaditya Ramdas, Zhiwei Steven Wu, Ryan M. Rogers
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints. NeurIPS (2022)
Benjamin Berg, Justin Whitehouse, Benjamin Moseley, Weina Wang, Mor Harchol-Balter
The case for phase-aware scheduling of parallelizable jobs. Perform. Evaluation 153 (2022)
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas, Ryan Rogers
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints. CoRR (2022)
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Zhiwei Steven Wu
Fully Adaptive Composition in Differential Privacy. CoRR (2022)
Benjamin Berg, Mor Harchol-Balter, Benjamin Moseley, Weina Wang, Justin Whitehouse
Optimal Resource Allocation for Elastic and Inelastic Jobs. SPAA (2020)
Benjamin Berg, Mor Harchol-Balter, Benjamin Moseley, Weina Wang, Justin Whitehouse
Optimal Resource Allocation for Elastic and Inelastic Jobs. CoRR (2020)
Kexin Pei, Shiqi Wang, Yuchi Tian, Justin Whitehouse, Carl Vondrick, Yinzhi Cao, Baishakhi Ray, Suman Jana, Junfeng Yang
Bringing Engineering Rigor to Deep Learning. ACM SIGOPS Oper. Syst. Rev. 53 (1) (2019)
Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana
Formal Security Analysis of Neural Networks using Symbolic Intervals. USENIX Security Symposium (2018)
Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana
Efficient Formal Safety Analysis of Neural Networks. CoRR (2018)
Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana
Formal Security Analysis of Neural Networks using Symbolic Intervals. CoRR (2018)
Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana
Efficient Formal Safety Analysis of Neural Networks. NeurIPS (2018)