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Semantics for probabilistic programming: higher-order functions,
  continuous distributions, and soft constraints
v1v2v3 (latest)

Semantics for probabilistic programming: higher-order functions, continuous distributions, and soft constraints

19 January 2016
S. Staton
Hongseok Yang
C. Heunen
Ohad Kammar
Frank Wood
ArXiv (abs)PDFHTML

Papers citing "Semantics for probabilistic programming: higher-order functions, continuous distributions, and soft constraints"

20 / 20 papers shown
Title
Declarative Probabilistic Logic Programming in Discrete-Continuous
  Domains
Declarative Probabilistic Logic Programming in Discrete-Continuous Domains
Pedro Zuidberg Dos Martires
Luc de Raedt
Angelika Kimmig
94
4
0
21 Feb 2023
Fast and Correct Gradient-Based Optimisation for Probabilistic
  Programming via Smoothing
Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing
Basim Khajwal
C.-H. Luke Ong
Dominik Wagner
25
4
0
09 Jan 2023
Nonparametric Involutive Markov Chain Monte Carlo
Nonparametric Involutive Markov Chain Monte Carlo
Carol Mak
Fabian Zaiser
C. Ong
65
1
0
02 Nov 2022
Smoothness Analysis for Probabilistic Programs with Application to
  Optimised Variational Inference
Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference
Wonyeol Lee
Xavier Rival
Hongseok Yang
96
10
0
22 Aug 2022
Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs
  via PAC-Bayes Objectives
Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives
J. Warrell
M. Gerstein
GP
49
1
0
30 Mar 2022
A meta-probabilistic-programming language for bisimulation of
  probabilistic and non-well-founded type systems
A meta-probabilistic-programming language for bisimulation of probabilistic and non-well-founded type systems
J. Warrell
A. Potapov
Adam Vandervorst
B. Goertzel
13
0
0
30 Mar 2022
Mixed Nondeterministic-Probabilistic Automata: Blending graphical
  probabilistic models with nondeterminism
Mixed Nondeterministic-Probabilistic Automata: Blending graphical probabilistic models with nondeterminism
A. Benveniste
Jean-Baptiste Raclet
TPM
52
1
0
19 Jan 2022
Expectation Programming: Adapting Probabilistic Programming Systems to
  Estimate Expectations Efficiently
Expectation Programming: Adapting Probabilistic Programming Systems to Estimate Expectations Efficiently
Tim Reichelt
Adam Goliñski
C.-H. Luke Ong
Tom Rainforth
TPM
60
0
0
09 Jun 2021
Control-Data Separation and Logical Condition Propagation for Efficient
  Inference on Probabilistic Programs
Control-Data Separation and Logical Condition Propagation for Efficient Inference on Probabilistic Programs
I. Hasuo
Yuichiro Oyabu
Clovis Eberhart
Kohei Suenaga
Kenta Cho
Shin-ya Katsumata
TPM
43
3
0
05 Jan 2021
Finding the maximum-a-posteriori behaviour of agents in an agent-based
  model
Finding the maximum-a-posteriori behaviour of agents in an agent-based model
Daniel Tang
45
1
0
05 May 2020
Optimal Approximate Sampling from Discrete Probability Distributions
Optimal Approximate Sampling from Discrete Probability Distributions
Feras A. Saad
Cameron E. Freer
Martin Rinard
Vikash K. Mansinghka
15
9
0
13 Jan 2020
Towards Verified Stochastic Variational Inference for Probabilistic
  Programs
Towards Verified Stochastic Variational Inference for Probabilistic Programs
Wonyeol Lee
Hangyeol Yu
Xavier Rival
Hongseok Yang
70
26
0
20 Jul 2019
Deployable probabilistic programming
Deployable probabilistic programming
David Tolpin
TPM
104
7
0
20 Jun 2019
Hijacking Malaria Simulators with Probabilistic Programming
Hijacking Malaria Simulators with Probabilistic Programming
Bradley Gram-Hansen
Christian Schroeder de Witt
Tom Rainforth
Philip Torr
Yee Whye Teh
A. G. Baydin
60
8
0
29 May 2019
The Random Conditional Distribution for Higher-Order Probabilistic
  Inference
The Random Conditional Distribution for Higher-Order Probabilistic Inference
Zenna Tavares
Xin Zhang
Edgar Minaysan
Javier Burroni
Rajesh Ranganath
Armando Solar-Lezama
45
9
0
25 Mar 2019
Semantics of higher-order probabilistic programs with conditioning
Semantics of higher-order probabilistic programs with conditioning
Fredrik Dahlqvist
D. Kozen
AI4CE
48
51
0
28 Feb 2019
Probabilistic Programming with Densities in SlicStan: Efficient,
  Flexible and Deterministic
Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic
Maria I. Gorinova
Andrew D. Gordon
Charles Sutton
77
24
0
02 Nov 2018
An Introduction to Probabilistic Programming
An Introduction to Probabilistic Programming
Jan-Willem van de Meent
Brooks Paige
Hongseok Yang
Frank Wood
GP
88
200
0
27 Sep 2018
The Logical Essentials of Bayesian Reasoning
The Logical Essentials of Bayesian Reasoning
B. Jacobs
Fabio Zanasi
102
39
0
03 Apr 2018
A Convenient Category for Higher-Order Probability Theory
A Convenient Category for Higher-Order Probability Theory
C. Heunen
Ohad Kammar
S. Staton
Hongseok Yang
101
161
0
10 Jan 2017
1