Robert Zinkov

According to our database, Robert Zinkov authored at least 14 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BlackJAX: Composable Bayesian inference in JAX.

Alberto Cabezas, Adrien Corenflos, Junpeng Lao, Rémi Louf, Antoine Carnec, Kaustubh Chaudhari, Reuben Cohn-Gordon, Jeremie Coullon, Wei Deng, Sam Duffield, Gerardo Duràn-Martín, Marcin Elantkowski, Dan Foreman-Mackey, Michele Gregori, Carlos Iguaran, Ravin Kumar, Martin Lysy, Kevin Murphy, Juan Camilo Orduz, Karm Patel, Xi Wang, Rob Zinkov

CoRR, 2024

Verified Multi-Step Synthesis using Large Language Models and Monte Carlo Tree Search.

David Brandfonbrener, Sibi Raja, Tarun Prasad, Chloe Loughridge, Jianang Yang, Simon Henniger, William E. Byrd, Robert Zinkov, Nada Amin

CoRR, 2024

2023

PyMC: a modern, and comprehensive probabilistic programming framework in Python.

Oriol Abril Pla, Virgile Andréani, Colin Carroll, Larry Dong, Christopher Fonnesbeck, Maxim Kochurov, Ravin Kumar, Junpeng Lao, Christian C. Luhmann, Osvaldo A. Martin, Michael Osthege, Ricardo Vieira, Thomas V. Wiecki, Robert Zinkov

PeerJ Comput. Sci., 2023

2022

Amortized Rejection Sampling in Universal Probabilistic Programming.

Saeid Naderiparizi, Adam Scibior, Andreas Munk, Mehrdad Ghadiri, Atilim Gunes Baydin, Bradley J. Gram-Hansen, Christian A. Schröder de Witt, Robert Zinkov, Philip H. S. Torr, Tom Rainforth, Yee Whye Teh, Frank Wood

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

probKanren: A Simple Probabilistic Extension for microKanren.

Robert Zinkov, William E. Byrd

Proceedings of the International Conference on Logic Programming 2021 Workshops co-located with the 37th International Conference on Logic Programming (ICLP 2021), 2021

2020

Simulation-Based Inference for Global Health Decisions.

Christian Schröder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Robert Zinkov, Puneet K. Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip H. S. Torr, Atilim Günes Baydin

CoRR, 2020

2018

Faithful Inversion of Generative Models for Effective Amortized Inference.

Stefan Webb, Adam Golinski, Robert Zinkov, Siddharth Narayanaswamy, Tom Rainforth, Yee Whye Teh, Frank Wood

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Querying Word Embeddings for Similarity and Relatedness.

Fatemeh Torabi Asr, Robert Zinkov, Michael N. Jones

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference.

Stefan Webb, Adam Golinski, Robert Zinkov, N. Siddharth, Yee Whye Teh, Frank D. Wood

CoRR, 2017

Composing Inference Algorithms as Program Transformations.

Robert Zinkov, Chung-chieh Shan

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Using synthetic data to train neural networks is model-based reasoning.

Tuan Anh Le, Atilim Günes Baydin, Robert Zinkov, Frank D. Wood

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Probabilistic Inference by Program Transformation in Hakaru (System Description).

Praveen Narayanan, Jacques Carette, Wren Romano, Chung-chieh Shan, Robert Zinkov

Proceedings of the Functional and Logic Programming - 13th International Symposium, 2016

2009

Sensitivity analysis for distributed optimization with resource constraints.

Emma Bowring, Zhengyu Yin, Rob Zinkov, Milind Tambe

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008

Potential-based Shaping in Model-based Reinforcement Learning.

John Asmuth, Michael L. Littman, Robert Zinkov

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008