Pyro: Deep Universal Probabilistic Programming

18 October 2018

Papers citing "Pyro: Deep Universal Probabilistic Programming"

50 / 436 papers shown

Title
A survey of multimodal deep generative models Masahiro Suzuki Y. Matsuo SyDa DRL 57 76 0 05 Jul 2022
Neural Implicit Manifold Learning for Topology-Aware Density Estimation Brendan Leigh Ross G. Loaiza-Ganem Anthony L. Caterini Jesse C. Cresswell AI4CE 33 2 0 22 Jun 2022
Asymptotic Properties for Bayesian Neural Network in Besov Space Kyeongwon Lee Jaeyong Lee BDL 11 4 0 01 Jun 2022
Estimating a density near an unknown manifold: a Bayesian nonparametric approach Clément Berenfeld Paul Rosa Judith Rousseau 50 10 0 31 May 2022
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning M. Ziatdinov Yongtao Liu K. Kelley Rama K Vasudevan Sergei V. Kalinin AI4CE 47 49 0 30 May 2022
Tensor Program Optimization with Probabilistic Programs Junru Shao Xiyou Zhou Siyuan Feng Bohan Hou Ruihang Lai Hongyi Jin Wuwei Lin Masahiro Masuda Cody Hao Yu Tianqi Chen 37 29 0 26 May 2022
Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini Daniele Zambon Cesare Alippi CML AI4TS 43 18 0 26 May 2022
Bayesian Active Learning with Fully Bayesian Gaussian Processes Christoffer Riis Francisco Antunes F. B. Hüttel C. L. Azevedo Francisco Câmara Pereira GP 13 22 0 20 May 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks Agustinus Kristiadi Runa Eschenhagen Philipp Hennig BDL 24 12 0 20 May 2022
Robust Expected Information Gain for Optimal Bayesian Experimental Design Using Ambiguity Sets Jinwook Go T. Isaac 21 10 0 20 May 2022
Foundation Posteriors for Approximate Probabilistic Inference Mike Wu Noah D. Goodman UQCV 25 6 0 19 May 2022
Fat-Tailed Variational Inference with Anisotropic Tail Adaptive Flows Feynman T. Liang Liam Hodgkinson Michael W. Mahoney 16 11 0 16 May 2022
$On the use of a local $\hat{R}$ to improve MCMC convergence diagnostic$ On the use of a local $\hat{R}$ to improve MCMC convergence diagnostic Théo Moins Julyan Arbel A. Dutfoy Stéphane Girard 25 12 0 13 May 2022
Noun2Verb: Probabilistic frame semantics for word class conversion Lei Yu Yang Xu 28 0 0 12 May 2022
Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking Luca Bortolussi Francesca Cairoli Ginevra Carbone Paolo Pulcini 37 1 0 11 May 2022
A Probabilistic Generative Model of Free Categories Eli Sennesh T. Xu Y. Maruyama 16 0 0 09 May 2022
Open vs Closed-ended questions in attitudinal surveys -- comparing, combining, and interpreting using natural language processing Vishnu Baburajan J. de Abreu e Silva Francisco Câmara Pereira 9 18 0 03 May 2022
A Survey on Uncertainty Toolkits for Deep Learning Maximilian Pintz Joachim Sicking Maximilian Poretschkin Maram Akila ELM 33 6 0 02 May 2022
Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity Arber Qoku Florian Buettner 29 5 0 13 Apr 2022
Statistical Model Criticism of Variational Auto-Encoders Claartje Barkhof Wilker Aziz DRL 27 3 0 06 Apr 2022
Guaranteed Bounds for Posterior Inference in Universal Probabilistic Programming Raven Beutner Luke Ong Fabian Zaiser 24 11 0 06 Apr 2022
Inferring Rewards from Language in Context Jessy Lin Daniel Fried Dan Klein Anca Dragan LM&Ro 27 54 0 05 Apr 2022
Calibrated Model Criticism Using Split Predictive Checks Jiawei Li Jonathan H. Huggins 20 8 0 29 Mar 2022
On Reinforcement Learning, Effect Handlers, and the State Monad Ugo Dal Lago Francesco Gavazzo Alexis Ghyselen 26 1 0 29 Mar 2022
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation Hansheng Chen Pichao Wang Fan Wang Wei Tian Lu Xiong Hao Li 93 146 0 24 Mar 2022
Variational methods for simulation-based inference Manuel Glöckler Michael Deistler Jakob H. Macke 30 46 0 08 Mar 2022
Motron: Multimodal Probabilistic Human Motion Forecasting Tim Salzmann Marco Pavone Markus Ryll 3DH 30 29 0 08 Mar 2022
Compartmental Models for COVID-19 and Control via Policy Interventions Swapneel Mehta Noah Kasmanoff 16 0 0 06 Mar 2022
py-irt: A Scalable Item Response Theory Library for Python John P. Lalor Pedro Rodriguez 30 10 0 02 Mar 2022
Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder Kiran Mantripragada Faisal Z. Qureshi 27 36 0 02 Mar 2022
Stochastic Causal Programming for Bounding Treatment Effects Kirtan Padh Jakob Zeitler David S. Watson Matt J. Kusner Ricardo M. A. Silva Niki Kilbertus CML 32 26 0 22 Feb 2022
A Probabilistic Programming Idiom for Active Knowledge Search Malte Rørmose Damgaard Rasmus Pedersen T. Bak 12 1 0 19 Feb 2022
Reinforcement Learning in Presence of Discrete Markovian Context Evolution Hang Ren Aivar Sootla Taher Jafferjee Junxiao Shen Jun Wang Haitham Bou-Ammar BDL OffRL 35 9 0 14 Feb 2022
PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty Paz Fink Shustin Shashanka Ubaru Vasileios Kalantzis L. Horesh H. Avron 26 2 0 10 Feb 2022
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning Meet P. Vadera Adam D. Cobb Brian Jalaian Benjamin M. Marlin BDL 16 2 0 08 Feb 2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space Yunbum Kook Y. Lee Ruoqi Shen Santosh Vempala 11 38 0 03 Feb 2022
Optimizing Sequential Experimental Design with Deep Reinforcement Learning Tom Blau Edwin V. Bonilla Iadine Chadès Amir Dezfouli BDL OffRL 24 37 0 02 Feb 2022
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy Yash Mehta Colin White Arber Zela Arjun Krishnakumar Guri Zabergja Shakiba Moradian Mahmoud Safari Kaicheng Yu Frank Hutter 24 41 0 31 Jan 2022
Loss-calibrated expectation propagation for approximate Bayesian decision-making Michael J. Morais Jonathan W. Pillow 44 6 0 10 Jan 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling M. Jankowiak Du Phan BDL 35 13 0 22 Dec 2021
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 25 140 0 20 Dec 2021
BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters Sami Alabed Eiko Yoneki 13 6 0 16 Dec 2021
ProbNum: Probabilistic Numerics in Python Jonathan Wenger Nicholas Kramer Marvin Pfortner Jonathan Schmidt Nathanael Bosch ... A. Gessner Toni Karvonen F. Briol Maren Mahsereci Philipp Hennig 52 17 0 03 Dec 2021
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation Edward Kim Jay Shenoy Sebastian Junges Daniel J. Fremont Alberto L. Sangiovanni-Vincentelli S. Seshia 40 3 0 01 Dec 2021
EffCNet: An Efficient CondenseNet for Image Classification on NXP BlueBox Priyank Kalgaonkar M. El-Sharkawy 15 0 0 28 Nov 2021
Toward an Idiomatic Framework for Cognitive Robotics Malte Rørmose Damgaard Rasmus Pedersen T. Bak LM&Ro 16 3 0 25 Nov 2021
On the Stochastic Stability of Deep Markov Models Ján Drgoňa Sayak Mukherjee Jiaxin Zhang Frank Liu M. Halappanavar BDL 25 5 0 08 Nov 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods Desi R. Ivanova Adam Foster Steven Kleinegesse Michael U. Gutmann Tom Rainforth OffRL 21 46 0 03 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 33 93 0 02 Nov 2021
Sayer: Using Implicit Feedback to Optimize System Policies Mathias Lécuyer Sang Hoon Kim Mihir Nanavati Junchen Jiang S. Sen Amit Sharma Aleksandrs Slivkins OffRL 42 1 0 28 Oct 2021