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David Tolpin
David Tolpin
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1 Computer Science Department, Ben Gurion University, Beersheba, Israel alexandre. cukier@ gmail. com, brafman@ cs. bgu. ac. il 2 PayPal, Tel Aviv, Israel yperkal@ paypal. co …
A Cukier¹, RI Brafman¹, Y Perkal, D Tolpin
Cyber Security Cryptography and Machine Learning: Second International …, 2018
2018
A Planning Approach to Monitoring Behavior of Computer Programs
A Cukier, RI Brafman, Y Perkal, D Tolpin
arXiv preprint arXiv:1709.03363, 2017
2017
A Planning Approach to Monitoring Computer Programs’ Behavior
A Cukier, RI Brafman, Y Perkal, D Tolpin
Cyber Security Cryptography and Machine Learning: Second International …, 2018
2018
A Renewal Model of Intrusion
D Tolpin
arXiv preprint arXiv:1709.08163, 2017
2017
Adaptive Scheduling in MCMC and Probabilistic Programming.
D Tolpin, JW van de Meent, B Paige, F Wood
arXiv preprint arXiv: 1501.05677, 2015
2015
Advanced computer system drift detection
OM Lahav, RC Johnson, D Tolpin
US Patent 10,445,163, 2019
132019
ADVANCED COMPUTER SYSTEM DRIFT DETECTION
OM Lahav, RC Johnson, D Tolpin
2019
Advanced techniques for machine learning using sample comparisons
D Tolpin, BH Myara, M Dymshits
US Patent 11,687,769, 2023
2023
An Interface for Black Box Learning in Probabilistic Programs
JW van de Meent, B Paige, D Tolpin, F Wood
POPL Workshop on Probabilistic Programming Semantics, 2016
32016
Bayesian Policy Search for Stochastic Domains
D Tolpin, Y Zhou, H Yang
arXiv preprint arXiv:2010.00284, 2020
2020
Black-box policy search with probabilistic programs
JW Vandemeent, B Paige, D Tolpin, F Wood
Artificial Intelligence and Statistics, 1195-1204, 2016
302016
Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs
D Tolpin, T Dobkin
arXiv preprint arXiv:2108.03834, 2021
2021
Deployable Probabilistic Programming
D Tolpin
https://arxiv.org/abs/1906.11199, 2019
92019
Design and implementation of probabilistic programming language anglican
D Tolpin, JW van de Meent, H Yang, F Wood
Proceedings of the 28th Symposium on the Implementation and Application of …, 2016
1432016
Doing Better Than UCT: Rational Monte Carlo Sampling in Trees
D Tolpin, SE Shimony
arXiv preprint arXiv:1108.3711, 2011
12011
Efficient Incremental Belief Updates Using Weighted Virtual Observations
D Tolpin
arXiv preprint arXiv:2402.06940, 2024
2024
Fraud prediction based on partial usage data
BH Myara, D Tolpin
US Patent 10,621,586, 2020
152020
FRAUD PREDICTION BASED ON PARTIAL USAGE DATA
BH Myara, D Tolpin
2018
How To Train Your Program
D Tolpin
2021
How To Train Your Program: a Probabilistic Programming Pattern for Bayesian Learning From Data
D Tolpin
arXiv preprint arXiv:2105.03650, 2021
2021
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