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ORCIDDavid Tolpin
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2020 – today
- 2024
[i30]David Tolpin:
Efficient Incremental Belief Updates Using Weighted Virtual Observations. CoRR abs/2402.06940 (2024)- 2023
- [c23]Ronen I. Brafman, David Tolpin, Or Wertheim:
Probabilistic Programs as an Action Description Language. AAAI 2023: 15351-15358 - 2022
- [c22]Oshri Barazani, David Tolpin:
Monitoring Time Series with Missing Values: A Deep Probabilistic Approach. CSCML 2022: 19-28 - [i29]Oshri Barazani, David Tolpin:
Monitoring Time Series With Missing Values: a Deep Probabilistic Approach. CoRR abs/2203.04916 (2022) - 2021
- [c21]Igor Vinokur, David Tolpin:
Warped Input Gaussian Processes for Time Series Forecasting. CSCML 2021: 205-220 - [c20]David Tolpin, Yuan Zhou, Tom Rainforth, Hongseok Yang:
Probabilistic Programs with Stochastic Conditioning. ICML 2021: 10312-10323 - [i28]David Tolpin:
How To Train Your Program. CoRR abs/2105.03650 (2021) - [i27]David Tolpin, Tomer Dobkin:
Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs. CoRR abs/2108.03834 (2021) - 2020
- [i26]David Tolpin, Tomer Dobkin:
Stochastic Probabilistic Programs. CoRR abs/2001.02656 (2020) - [i25]David Tolpin, Yuan Zhou, Hongseok Yang:
Stochastically Differentiable Probabilistic Programs. CoRR abs/2003.00704 (2020) - [i24]David Tolpin, Yuan Zhou, Hongseok Yang:
Probabilistic Programs with Stochastic Conditioning. CoRR abs/2010.00282 (2020) - [i23]David Tolpin, Yuan Zhou, Hongseok Yang:
Bayesian Policy Search for Stochastic Domains. CoRR abs/2010.00284 (2020)
2010 – 2019
- 2019
- [c19]David Tolpin:
Deployable probabilistic programming. Onward! 2019: 1-16 - [c18]David Tolpin:
Population anomaly detection through deep gaussianization. SAC 2019: 1330-1336 - [i22]David Tolpin:
Deployable probabilistic programming. CoRR abs/1906.11199 (2019) - [i21]David Tolpin:
Warped Input Gaussian Processes for Time Series Forecasting. CoRR abs/1912.02527 (2019) - 2018
- [j3]Erez Karpas
, Oded Betzalel, Solomon Eyal Shimony, David Tolpin, Ariel Felner:
Rational deployment of multiple heuristics in optimal state-space search. Artif. Intell. 256: 181-210 (2018) - [c17]Alexandre Cukier, Ronen I. Brafman, Yotam Perkal, David Tolpin:
A Planning Approach to Monitoring Computer Programs' Behavior. CSCML 2018: 243-254 - [i20]David Tolpin:
Population Anomaly Detection through Deep Gaussianization. CoRR abs/1805.02123 (2018) - 2017
- [c16]Michael Dymshits, Benjamin Myara, David Tolpin:
Process monitoring on sequences of system call count vectors. ICCST 2017: 1-5 - [i19]Reuth Mirsky, Ya'akov Gal, David Tolpin:
Session Analysis using Plan Recognition. CoRR abs/1706.06328 (2017) - [i18]Michael Dymshits, Ben Myara, David Tolpin:
Process Monitoring on Sequences of System Call Count Vectors. CoRR abs/1707.03821 (2017) - [i17]Alexandre Cukier, Ronen I. Brafman, Yotam Perkal, David Tolpin:
A Planning Approach to Monitoring Behavior of Computer Programs. CoRR abs/1709.03363 (2017) - 2016
- [c15]Jan-Willem van de Meent, Brooks Paige, David Tolpin, Frank D. Wood:
Black-Box Policy Search with Probabilistic Programs. AISTATS 2016: 1195-1204 - [c14]David Tolpin, Jan-Willem van de Meent, Hongseok Yang, Frank D. Wood:
Design and Implementation of Probabilistic Programming Language Anglican. IFL 2016: 6:1-6:12 - [i16]David Tolpin:
Progressive Temporal Window Widening. CoRR abs/1604.00997 (2016) - [i15]David Tolpin, Jan-Willem van de Meent, Hongseok Yang, Frank D. Wood:
Design and Implementation of Probabilistic Programming Language Anglican. CoRR abs/1608.05263 (2016) - 2015
- [c13]Eli Boyarski, Ariel Felner, Roni Stern, Guni Sharon, David Tolpin, Oded Betzalel, Solomon Eyal Shimony:
ICBS: Improved Conflict-Based Search Algorithm for Multi-Agent Pathfinding. IJCAI 2015: 740-746 - [c12]David Tolpin, Jan-Willem van de Meent, Frank D. Wood:
Probabilistic Programming in Anglican. ECML/PKDD (3) 2015: 308-311 - [c11]David Tolpin, Jan-Willem van de Meent, Brooks Paige, Frank D. Wood:
Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs. ECML/PKDD (2) 2015: 311-326 - [c10]David Tolpin, Frank D. Wood:
Maximum a Posteriori Estimation by Search in Probabilistic Programs. SOCS 2015: 201-205 - [c9]Eli Boyarski, Ariel Felner, Roni Stern, Guni Sharon, Oded Betzalel, David Tolpin, Solomon Eyal Shimony:
ICBS: The Improved Conflict-Based Search Algorithm for Multi-Agent Pathfinding. SOCS 2015: 223-225 - [i14]David Tolpin, Jan-Willem van de Meent, Brooks Paige, Frank D. Wood:
Adaptive Scheduling in MCMC and Probabilistic Programming. CoRR abs/1501.05677 (2015) - [i13]David Tolpin, Brooks Paige, Frank D. Wood:
Path Finding under Uncertainty through Probabilistic Inference. CoRR abs/1502.07314 (2015) - [i12]David Tolpin, Frank D. Wood:
Maximum a Posteriori Estimation by Search in Probabilistic Programs. CoRR abs/1504.06848 (2015) - [i11]Jan-Willem van de Meent, David Tolpin, Brooks Paige, Frank D. Wood:
Black-Box Policy Search with Probabilistic Programs. CoRR abs/1507.04635 (2015) - 2014
- [c8]David Tolpin, Oded Betzalel, Ariel Felner, Solomon Eyal Shimony:
Rational Deployment of Multiple Heuristics in IDA. ECAI 2014: 1107-1108 - [i10]Nicholas Hay, Stuart Russell, David Tolpin, Solomon Eyal Shimony:
Selecting Computations: Theory and Applications. CoRR abs/1408.2048 (2014) - [i9]David Tolpin:
Justifying and Improving Meta-Agent Conflict-Based Search. CoRR abs/1410.6519 (2014) - [i8]David Tolpin, Oded Betzalel, Ariel Felner, Solomon Eyal Shimony:
Rational Deployment of Multiple Heuristics in IDA. CoRR abs/1411.6593 (2014) - 2013
- [c7]David Tolpin, Tal Beja, Solomon Eyal Shimony, Ariel Felner, Erez Karpas:
Toward Rational Deployment of Multiple Heuristics in A. IJCAI 2013: 674-680 - [c6]David Tolpin, Tal Beja, Solomon Eyal Shimony, Ariel Felner, Erez Karpas:
Towards Rational Deployment of Multiple Heuristics in A* (Extended Abstract). SOCS 2013: 220-221 - [i7]David Tolpin, Tal Beja, Solomon Eyal Shimony, Ariel Felner, Erez Karpas:
Towards Rational Deployment of Multiple Heuristics in A*. CoRR abs/1305.5030 (2013) - 2012
- [j2]David Tolpin, Solomon Eyal Shimony:
Rational value of information estimation for measurement selection. Intell. Decis. Technol. 6(4): 297-304 (2012) - [j1]David Tolpin, Solomon Eyal Shimony:
Semimyopic Measurement Selection for Optimization Under Uncertainty. IEEE Trans. Syst. Man Cybern. Part B 42(2): 565-579 (2012) - [c5]David Tolpin, Solomon Eyal Shimony:
MCTS Based on Simple Regret. AAAI 2012: 570-576 - [c4]David Tolpin, Solomon Eyal Shimony:
VOI-aware MCTS. ECAI 2012: 929-930 - [c3]David Tolpin, Solomon Eyal Shimony:
MCTS Based on Simple Rerget. SOCS 2012: 193-199 - [c2]Nicholas Hay, Stuart Russell, David Tolpin, Solomon Eyal Shimony:
Selecting Computations: Theory and Applications. UAI 2012: 346-355 - [i6]David Tolpin, Solomon Eyal Shimony:
MCTS Based on Simple Regret. CoRR abs/1207.5536 (2012) - [i5]David Tolpin, Solomon Eyal Shimony:
VOI-aware MCTS. CoRR abs/1207.5589 (2012) - [i4]Nicholas Hay, Stuart Russell, David Tolpin, Solomon Eyal Shimony:
Selecting Computations: Theory and Applications. CoRR abs/1207.5879 (2012) - 2011
- [c1]David Tolpin, Solomon Eyal Shimony:
Rational Deployment of CSP Heuristics. IJCAI 2011: 680-686 - [i3]David Tolpin, Solomon Eyal Shimony:
Rational Deployment of CSP Heuristics. CoRR abs/1104.1924 (2011) - 2010
- [i2]David Tolpin, Solomon Eyal Shimony:
Rational Value of Information Estimation for Measurement Selection. CoRR abs/1003.5305 (2010)
2000 – 2009
- 2009
- [i1]David Tolpin, Solomon Eyal Shimony:
Semi-Myopic Sensing Plans for Value Optimization. CoRR abs/0906.3149 (2009)
Coauthor Index
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