Justin Whitehouse

26 papers A* 9B 1Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Statistical Inference and Learning for Shapley Additive Explanations (SHAP).
CoRR
Justin Whitehouse, Ayush Sawarni, Vasilis Syrgkanis
2025 J jnl
Doubly-Robust LLM-as-a-Judge: Externally Valid Estimation with Imperfect Personas.
CoRR
Luke Guerdan, Justin Whitehouse, Kimberly Le Truong, Kenneth Holstein, Zhiwei Steven Wu
2025 J jnl
Inference on Optimal Policy Values and Other Irregular Functionals via Smoothing.
CoRR
Justin Whitehouse, Morgane Austern, Vasilis Syrgkanis
2025 A* conf
Orthogonal Causal Calibration (Extended Abstract).
COLT
Justin Whitehouse, Christopher Jung, Vasilis Syrgkanis, Bryan Wilder, Zhiwei Steven Wu
2025 J jnl
Policy Learning with Abstention.
CoRR
Ayush Sawarni, Jikai Jin, Justin Whitehouse, Vasilis Syrgkanis
2025 A* conf
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes (Extended Abstract).
COLT
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas
2024 J jnl
Multi-Armed Bandits with Network Interference.
CoRR
Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
2024 A* conf
Mutli-Armed Bandits with Network Interference.
NeurIPS
Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
2024 J jnl
Orthogonal Causal Calibration.
CoRR
Justin Whitehouse, Christopher Jung, Vasilis Syrgkanis, Bryan Wilder, Zhiwei Steven Wu
2023 A* conf
Adaptive Principal Component Regression with Applications to Panel Data.
NeurIPS
Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu
2023 J jnl
Adaptive Principal Component Regression with Applications to Panel Data.
CoRR
Anish Agarwal, Keegan Harris, Justin Whitehouse, Zhiwei Steven Wu
2023 A* conf
Fully-Adaptive Composition in Differential Privacy.
ICML
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu
2023 J jnl
Improved Self-Normalized Concentration in Hilbert Spaces: Sublinear Regret for GP-UCB.
CoRR
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas
2023 A* conf
On the Sublinear Regret of GP-UCB.
NeurIPS
Justin Whitehouse, Aaditya Ramdas, Zhiwei Steven Wu
2022 A* conf
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints.
NeurIPS
Justin Whitehouse, Aaditya Ramdas, Zhiwei Steven Wu, Ryan M. Rogers
2022 J jnl
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints.
CoRR
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas, Ryan Rogers
2022 J jnl
Fully Adaptive Composition in Differential Privacy.
CoRR
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Zhiwei Steven Wu
2022 J jnl
The Case for Phase-Aware Scheduling of Parallelizable Jobs.
SIGMETRICS Perform. Evaluation Rev.
Benjamin Berg, Justin Whitehouse, Benjamin Moseley, Weina Wang, Mor Harchol-Balter
2022 J jnl
The case for phase-aware scheduling of parallelizable jobs.
Perform. Evaluation
Benjamin Berg, Justin Whitehouse, Benjamin Moseley, Weina Wang, Mor Harchol-Balter
2020 B conf
Optimal Resource Allocation for Elastic and Inelastic Jobs.
SPAA
Benjamin Berg, Mor Harchol-Balter, Benjamin Moseley, Weina Wang, Justin Whitehouse
2020 J jnl
Optimal Resource Allocation for Elastic and Inelastic Jobs.
CoRR
Benjamin Berg, Mor Harchol-Balter, Benjamin Moseley, Weina Wang, Justin Whitehouse
2019 J jnl
Bringing Engineering Rigor to Deep Learning.
ACM SIGOPS Oper. Syst. Rev.
Kexin Pei, Shiqi Wang, Yuchi Tian, Justin Whitehouse, Carl Vondrick, Yinzhi Cao, Baishakhi Ray, Suman Jana, Junfeng Yang
2018 A* conf
Efficient Formal Safety Analysis of Neural Networks.
NeurIPS
Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana
2018 J jnl
Efficient Formal Safety Analysis of Neural Networks.
CoRR
Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana
2018 A* conf
Formal Security Analysis of Neural Networks using Symbolic Intervals.
USENIX Security Symposium
Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana
2018 J jnl
Formal Security Analysis of Neural Networks using Symbolic Intervals.
CoRR
Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana