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Approximate Counting in SMT and Value Estimation for Probabilistic
  Programs
v1v2 (latest)

Approximate Counting in SMT and Value Estimation for Probabilistic Programs

3 November 2014
D. Chistikov
Rayna Dimitrova
R. Majumdar
    TPM
ArXiv (abs)PDFHTML

Papers citing "Approximate Counting in SMT and Value Estimation for Probabilistic Programs"

16 / 16 papers shown
Title
Entailment vs. Verification for Partial-assignment Satisfiability and Enumeration
Entailment vs. Verification for Partial-assignment Satisfiability and Enumeration
Roberto Sebastiani
76
0
0
03 Mar 2025
Counting the Number of Solutions to Constraints
Counting the Number of Solutions to Constraints
Jian Zhang
Cunjing Ge
Feifei Ma
32
0
0
28 Dec 2020
Symbolic Logic meets Machine Learning: A Brief Survey in Infinite
  Domains
Symbolic Logic meets Machine Learning: A Brief Survey in Infinite Domains
Vaishak Belle
NAILRM
106
36
0
15 Jun 2020
On the Approximability of Weighted Model Integration on DNF Structures
On the Approximability of Weighted Model Integration on DNF Structures
Ralph Abboud
.Ismail .Ilkan Ceylan
Radoslav Dimitrov
TPM
39
5
0
17 Feb 2020
SMT + ILP
SMT + ILP
Vaishak Belle
18
0
0
15 Jan 2020
MCPA: Program Analysis as Machine Learning
MCPA: Program Analysis as Machine Learning
Marcel Bohme
28
1
0
12 Nov 2019
Efficient Search-Based Weighted Model Integration
Efficient Search-Based Weighted Model Integration
Zhe Zeng
Guy Van den Broeck
TPM
99
24
0
13 Mar 2019
Scaling up Probabilistic Inference in Linear and Non-Linear Hybrid
  Domains by Leveraging Knowledge Compilation
Scaling up Probabilistic Inference in Linear and Non-Linear Hybrid Domains by Leveraging Knowledge Compilation
Anton Fuxjaeger
Vaishak Belle
TPM
8
1
0
29 Nov 2018
Tractable Querying and Learning in Hybrid Domains via Sum-Product
  Networks
Tractable Querying and Learning in Hybrid Domains via Sum-Product Networks
Andreas Bueff
Stefanie Speichert
Vaishak Belle
TPM
41
15
0
14 Jul 2018
Probabilistic Planning by Probabilistic Programming
Probabilistic Planning by Probabilistic Programming
Vaishak Belle
21
2
0
25 Jan 2018
Bit-Vector Model Counting using Statistical Estimation
Bit-Vector Model Counting using Statistical Estimation
Seonmo Kim
Stephen McCamant
12
11
0
21 Dec 2017
A New Probabilistic Algorithm for Approximate Model Counting
A New Probabilistic Algorithm for Approximate Model Counting
Cunjing Ge
Feifei Ma
Tian Liu
Jian Zhang
TPM
35
4
0
13 Jun 2017
Quantifying Program Bias
Quantifying Program Bias
Aws Albarghouthi
Loris Dántoni
Samuel Drews
A. Nori
74
12
0
17 Feb 2017
Computing Scores of Forwarding Schemes in Switched Networks with
  Probabilistic Faults
Computing Scores of Forwarding Schemes in Switched Networks with Probabilistic Faults
Guy Avni
Shubham Goel
T. Henzinger
G. Rodríguez-Navas
17
3
0
12 Jan 2017
Approximate Probabilistic Inference via Word-Level Counting
Approximate Probabilistic Inference via Word-Level Counting
Supratik Chakraborty
Kuldeep S. Meel
Rakesh Mistry
Moshe Y. Vardi
TPM
78
59
0
24 Nov 2015
A Tool for Computing and Estimating the Volume of the Solution Space of
  SMT(LA)
A Tool for Computing and Estimating the Volume of the Solution Space of SMT(LA)
Cunjing Ge
Feifei Ma
Jian Zhang
31
1
0
01 Jul 2015
1