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Sam Witty
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Conference and Workshop Papers
- 2023
- [c2]Pracheta Amaranath, Peter J. Haas, David D. Jensen, Sam Witty:
Causal Dynamic Bayesian Networks for Simulation Metamodeling. WSC 2023: 746-757 - 2020
- [c1]Sam Witty, Kenta Takatsu, David D. Jensen
, Vikash Mansinghka:
Causal Inference using Gaussian Processes with Structured Latent Confounders. ICML 2020: 10313-10323
Informal and Other Publications
- 2024
- [i6]Raj Agrawal, Sam Witty, Andy Zane, Eli Bingham:
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions. CoRR abs/2403.00158 (2024) - 2021
- [i5]Sam Witty, David D. Jensen, Vikash Mansinghka:
A Simulation-Based Test of Identifiability for Bayesian Causal Inference. CoRR abs/2102.11761 (2021) - 2020
- [i4]Sam Witty, Kenta Takatsu, David D. Jensen, Vikash Mansinghka:
Causal Inference using Gaussian Processes with Structured Latent Confounders. CoRR abs/2007.07127 (2020) - [i3]Brittany Johnson, Jesse Bartola, Rico Angell, Katherine A. Keith, Sam Witty, Stephen J. Giguere, Yuriy Brun:
Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models. CoRR abs/2012.09951 (2020) - 2019
- [i2]Sam Witty, Alexander K. Lew, David D. Jensen, Vikash Mansinghka:
Bayesian causal inference via probabilistic program synthesis. CoRR abs/1910.14124 (2019) - 2018
- [i1]Sam Witty, Jun Ki Lee, Emma Tosch, Akanksha Atrey, Michael L. Littman, David D. Jensen:
Measuring and Characterizing Generalization in Deep Reinforcement Learning. CoRR abs/1812.02868 (2018)
Coauthor Index
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