Michael Tingley

According to our database, Michael Tingley authored at least 10 papers between 2019 and 2023.

Collaborative distances:

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

2023

More Than Just Algorithms.

Peter Norvig, Alfred Z. Spector, Chris Wiggins, Jeannette M. Wing, Ben Fried, Michael Tingley

Commun. ACM, August, 2023

More Than Just Algorithms: A discussion with Alfred Spector, Peter Norvig, Chris Wiggins, Jeannette Wing, Ben Fried, and Michael Tingley.

Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing, Ben Fried, Michael Tingley

ACM Queue, 2023

Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers.

Adam Breuer, Nazanin Khosravani Tehrani, Michael Tingley, Bradford Cottel

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Crowdsourcing with Contextual Uncertainty.

Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Narjes Torabi, Nimar S. Arora, Udi Weinsberg, Michael Tingley

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Accelerating Metropolis-Hastings with Lightweight Inference Compilation.

Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

PPL Bench: Evaluation Framework For Probabilistic Programming Languages.

Sourabh Kulkarni, Kinjal Divesh Shah, Nimar S. Arora, Xiaoyan Wang, Yucen Lily Li, Nazanin Khosravani Tehrani, Michael Tingley, David Noursi, Narjes Torabi, Sepehr Akhavan-Masouleh, Eric Lippert, Erik Meijer

CoRR, 2020

Uncertainty Estimation For Community Standards Violation In Online Social Networks.

Narjes Torabi, Nimar S. Arora, Emma Yu, Kinjal Divesh Shah, Wenshun Liu, Michael Tingley

CoRR, 2020

Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods.

Nimar S. Arora, Nazanin Khosravani Tehrani, Kinjal Divesh Shah, Michael Tingley, Yucen Lily Li, Narjes Torabi, David Noursi, Sepehr Akhavan-Masouleh, Eric Lippert, Erik Meijer

CoRR, 2020

Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference.

Nazanin Khosravani Tehrani, Nimar S. Arora, Yucen Lily Li, Kinjal Divesh Shah, David Noursi, Michael Tingley, Narjes Torabi, Sepehr Masouleh, Eric Lippert, Erik Meijer

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

HackPPL: a universal probabilistic programming language.

Jessica Ai, Nimar S. Arora, Ning Dong, Beliz Gokkaya, Thomas Jiang, Anitha Kubendran, Arun Kumar, Michael Tingley, Narjes Torabi

Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2019