Michael Tingley

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 12

Top Topics

Metropolis Hastings

Programming Language

Markov Chain Monte Carlo

Preferential Attachment

Top Venues

Publications

Adam Breuer, Nazanin Khosravani Tehrani, Michael Tingley, Bradford Cottel
Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers. CoRR (2023)
Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing, Ben Fried, Michael Tingley
More Than Just Algorithms: A discussion with Alfred Spector, Peter Norvig, Chris Wiggins, Jeannette Wing, Ben Fried, and Michael Tingley. ACM Queue 21 (1) (2023)
Adam Breuer, Nazanin Khosravani Tehrani, Michael Tingley, Bradford Cottel
Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers. KDD (2023)
Peter Norvig, Alfred Z. Spector, Chris Wiggins, Jeannette M. Wing, Ben Fried, Michael Tingley
More Than Just Algorithms. Commun. ACM 66 (8) (2023)
Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Narjes Torabi, Nimar S. Arora, Udi Weinsberg, Michael Tingley
Crowdsourcing with Contextual Uncertainty. KDD (2022)
Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer
Accelerating Metropolis-Hastings with Lightweight Inference Compilation. AISTATS (2021)
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
PPL Bench: Evaluation Framework For Probabilistic Programming Languages. CoRR (2020)
Narjes Torabi, Nimar S. Arora, Emma Yu, Kinjal Divesh Shah, Wenshun Liu, Michael Tingley
Uncertainty Estimation For Community Standards Violation In Online Social Networks. CoRR (2020)
Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer
Accelerating Metropolis-Hastings with Lightweight Inference Compilation. CoRR (2020)
Nazanin Khosravani Tehrani, Nimar S. Arora, Yucen Lily Li, Kinjal Divesh Shah, David Noursi, Michael Tingley, Narjes Torabi, Sepehr Masouleh, Eric Lippert, Erik Meijer
Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference. PGM (2020)
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
Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods. CoRR (2020)
Jessica Ai, Nimar S. Arora, Ning Dong, Beliz Gokkaya, Thomas Jiang, Anitha Kubendran, Arun Kumar, Michael Tingley, Narjes Torabi
HackPPL: a universal probabilistic programming language. MAPL@PLDI (2019)