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2020 – today
- 2025
[j7]Sam Stites, John M. Li
, Steven Holtzen:
Multi-Language Probabilistic Programming. Proc. ACM Program. Lang. 9(OOPSLA1): 1239-1266 (2025)- [j6]Sam Stites, John M. Li, Steven Holtzen:
Multi-Language Probabilistic Programming. Proc. ACM Program. Lang. 9(OOPSLA1): 1239-1266 (2025) - [j5]Minsung Cho, John Gouwar, Steven Holtzen:
Scaling Optimization over Uncertainty via Compilation. Proc. ACM Program. Lang. 9(OOPSLA1): 1546-1574 (2025) - [j4]Minsung Cho, John Gouwar, Steven Holtzen:
Scaling Optimization over Uncertainty via Compilation. Proc. ACM Program. Lang. 9(OOPSLA1): 1546-1574 (2025) - [i16]Minsung Cho, John Gouwar, Steven Holtzen:
Scaling Optimization Over Uncertainty via Compilation. CoRR abs/2502.18728 (2025) - [i15]Sam Stites, John M. Li, Steven Holtzen:
Multi-Language Probabilistic Programming. CoRR abs/2502.19538 (2025) - 2024
- [j3]Poorva Garg, Steven Holtzen, Guy Van den Broeck, Todd D. Millstein:
Bit Blasting Probabilistic Programs. Proc. ACM Program. Lang. 8(PLDI): 865-888 (2024) - [c13]Lisa Oakley, Steven Holtzen, Alina Oprea:
Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting. CSF 2024: 449-463 - [c12]Abdelrahman Madkour, Ross Mawhorter, Stacy Marsella, Adam M. Smith, Steven Holtzen:
Ahead-of-time Compilation for Diverse Samplers of Constrained Design Spaces. FDG 2024: 54 - [c11]John M. Li, Jon Aytac, Philip Johnson-Freyd, Amal Ahmed, Steven Holtzen:
A Nominal Approach to Probabilistic Separation Logic. LICS 2024: 55:1-55:14 - [i14]Lisa Oakley, Steven Holtzen, Alina Oprea:
Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting. CoRR abs/2402.16982 (2024) - [i13]John M. Li, Jon Aytac, Philip Johnson-Freyd, Amal Ahmed, Steven Holtzen:
A Nominal Approach to Probabilistic Separation Logic. CoRR abs/2405.06826 (2024) - 2023
- [j2]John M. Li, Amal Ahmed, Steven Holtzen:
Lilac: A Modal Separation Logic for Conditional Probability. Proc. ACM Program. Lang. 7(PLDI): 148-171 (2023) - [c10]Abdelrahman Madkour, Chris Martens, Steven Holtzen, Casper Harteveld, Stacy Marsella:
Probabilistic Logic Programming Semantics For Procedural Content Generation. AIIDE 2023: 295-305 - [c9]William X. Cao, Poorva Garg, Ryan Tjoa, Steven Holtzen, Todd D. Millstein, Guy Van den Broeck:
Scaling integer arithmetic in probabilistic programs. UAI 2023: 260-270 - [i12]John M. Li, Amal Ahmed, Steven Holtzen:
Lilac: a Modal Separation Logic for Conditional Probability. CoRR abs/2304.01339 (2023) - [i11]Federico Cassano, Ming-Ho Yee, Noah Shinn, Arjun Guha, Steven Holtzen:
Type Prediction With Program Decomposition and Fill-in-the-Type Training. CoRR abs/2305.17145 (2023) - [i10]William X. Cao, Poorva Garg, Ryan Tjoa, Steven Holtzen, Todd D. Millstein, Guy Van den Broeck:
Scaling Integer Arithmetic in Probabilistic Programs. CoRR abs/2307.13837 (2023) - [i9]Poorva Garg, Steven Holtzen, Guy Van den Broeck, Todd D. Millstein:
Bit Blasting Probabilistic Programs. CoRR abs/2312.05706 (2023) - 2021
- [c8]Yipeng Huang, Steven Holtzen, Todd D. Millstein, Guy Van den Broeck, Margaret Martonosi:
Logical abstractions for noisy variational Quantum algorithm simulation. ASPLOS 2021: 456-472 - [c7]Steven Holtzen, Sebastian Junges, Marcell Vazquez-Chanlatte, Todd D. Millstein, Sanjit A. Seshia, Guy Van den Broeck:
Model Checking Finite-Horizon Markov Chains with Probabilistic Inference. CAV (2) 2021: 577-601 - [d1]Steven Holtzen, Sebastian Junges, Marcell Vazquez-Chanlatte, Todd D. Millstein, Sanjit A. Seshia, Guy Van den Broeck:
Experiments for 'Model Checking Finite-Horizon Markov Chains with Probabilistic Inference'. Zenodo, 2021
- [i8]Yipeng Huang, Steven Holtzen, Todd D. Millstein, Guy Van den Broeck, Margaret Martonosi:
Logical Abstractions for Noisy Variational Quantum Algorithm Simulation. CoRR abs/2103.17226 (2021) - [i7]Steven Holtzen, Sebastian Junges, Marcell Vazquez-Chanlatte, Todd D. Millstein, Sanjit A. Seshia, Guy Van den Broeck:
Model Checking Finite-Horizon Markov Chains with Probabilistic Inference. CoRR abs/2105.12326 (2021) - [i6]Yu-Hsi Cheng, Todd D. Millstein, Guy Van den Broeck, Steven Holtzen:
flip-hoisting: Exploiting Repeated Parameters in Discrete Probabilistic Programs. CoRR abs/2110.10284 (2021) - 2020
- [j1]Steven Holtzen, Guy Van den Broeck, Todd D. Millstein:
Scaling exact inference for discrete probabilistic programs. Proc. ACM Program. Lang. 4(OOPSLA): 140:1-140:31 (2020) - [c6]Honghua Zhang, Steven Holtzen, Guy Van den Broeck:
On the Relationship Between Probabilistic Circuits and Determinantal Point Processes. UAI 2020: 1188-1197 - [i5]Steven Holtzen, Guy Van den Broeck, Todd D. Millstein:
Dice: Compiling Discrete Probabilistic Programs for Scalable Inference. CoRR abs/2005.09089 (2020) - [i4]Honghua Zhang, Steven Holtzen, Guy Van den Broeck:
On the Relationship Between Probabilistic Circuits and Determinantal Point Processes. CoRR abs/2006.15233 (2020)
2010 – 2019
- 2019
- [c5]Steven Holtzen, Todd D. Millstein, Guy Van den Broeck:
Generating and Sampling Orbits for Lifted Probabilistic Inference. UAI 2019: 985-994 - [i3]Steven Holtzen, Todd D. Millstein, Guy Van den Broeck:
Generating and Sampling Orbits for Lifted Probabilistic Inference. CoRR abs/1903.04672 (2019) - [i2]Steven Holtzen, Todd D. Millstein, Guy Van den Broeck:
Symbolic Exact Inference for Discrete Probabilistic Programs. CoRR abs/1904.02079 (2019) - 2018
- [c4]Steven Holtzen, Guy Van den Broeck, Todd D. Millstein:
Sound Abstraction and Decomposition of Probabilistic Programs. ICML 2018: 2004-2013 - 2017
- [c3]Steven Holtzen, Todd D. Millstein, Guy Van den Broeck:
Probabilistic Program Abstractions. UAI 2017 - [i1]Steven Holtzen, Todd D. Millstein, Guy Van den Broeck:
Probabilistic Program Abstractions. CoRR abs/1705.09970 (2017) - 2016
- [c2]Steven Holtzen, Yibiao Zhao, Tao Gao, Joshua B. Tenenbaum, Song-Chun Zhu:
Inferring human intent from video by sampling hierarchical plans. IROS 2016: 1489-1496 - 2015
- [c1]Yibiao Zhao, Steven Holtzen, Tao Gao, Song-Chun Zhu:
Represent and Infer Human Theory of Mind for Human-Robot Interaction. AAAI Fall Symposia 2015: 158-
Coauthor Index
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last updated on 2025-05-02 23:58 CEST by the dblp team
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