Sam Witty

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David JensenProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Vikash K. MansinghkaMIT, Probabilistic Computing ProjectVerified email at mit.edu
Michael LittmanBrown UniversityVerified email at brown.edu
Emma ToschResearcher, Northeastern UniversityVerified email at northeastern.edu
Kaleigh ClaryMS/PhD Student, University of Massachusetts, AmherstVerified email at cs.umass.edu
Kenta TakatsuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Justin SvegliatoSenior Research Scientist, Microsoft, UC BerkeleyVerified email at microsoft.com
Alexander K. LewGraduate student, MITVerified email at mit.edu
Eli BinghamBasis / Broad Institute of MIT and HarvardVerified email at broadinstitute.org
Peter J HaasCollege of Information and Computer Sciences, University of Massachusetts AmherstVerified email at cs.umass.edu
Pracheta AmaranathPh.D. Student, University of Massachusetts AmherstVerified email at cs.umass.edu

Sam Witty

Research Scientist - Basis Research Institute

Verified email at basis.ai - Homepage

Causal Inference Machine Learning Probabilistic Programming


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Measuring and characterizing generalization in deep reinforcement learning S Witty, JK Lee, E Tosch, A Atrey, K Clary, ML Littman, D Jensen Applied AI Letters, e45, 2018	71	2018
Causal inference using Gaussian processes with structured latent confounders S Witty, K Takatsu, D Jensen, V Mansinghka International Conference on Machine Learning, 10313-10323, 2020	29	2020
Fairkit, fairkit, on the wall, who’s the fairest of them all? Supporting fairness-related decision-making B Johnson, J Bartola, R Angell, S Witty, S Giguere, Y Brun EURO Journal on Decision Processes 11, 100031, 2023	26*	2023
Bayesian Causal Inference via Probabilistic Program Synthesis S Witty, A Lew, D Jensen, V Mansinghka Second Conference on Probabilistic Programming, 2020	9	2020
Deep jammer: a music generation model J Svegliato, S Witty Small 6, 67, 2016	5	2016
Automated efficient estimation using monte carlo efficient influence functions R Agrawal, S Witty, A Zane, E Bingham Advances in Neural Information Processing Systems 37, 16102-16132, 2024	3	2024
SBI: A Simulation-Based Test of Identifiability for Bayesian Causal Inference S Witty, D Jensen, V Mansinghka arXiv preprint arXiv:2102.11761, 2021	3	2021
Causal Graphs vs. Causal Programs: The Case of Conditional Branching S Witty, D Jensen First Conference on Probabilistic Programming, 2018	3	2018
Belief space planning for automated malware defense J Svegliato, S Witty, A Houmansadr, S Zilberstein Proceedings of the IJCAI/ECAI Workshop on AI for Internet of Things, 2018	2	2018
Bayesian Sequential Experimental Design for Planning Series of Police Lineups A Zane, A Cohen, D Jensen, J Starns, M Tuttle, S Witty Law, Probability and Risk 24 (1), mgae017, 2025		2025
Causal Dynamic Bayesian Networks for Simulation Metamodeling P Amaranath, PJ Haas, D Jensen, S Witty 2023 Winter Simulation Conference (WSC), 746-757, 2023		2023
Bayesian Structural Causal Inference with Probabilistic Programming S Witty University of Massachusetts Amherst, 2023		2023

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