| Bean machine: A declarative probabilistic programming language for efficient programmable inference N Tehrani, NS Arora, YL Li, KD Shah, D Noursi, M Tingley, N Torabi, ... International Conference on Probabilistic Graphical Models, 485-496, 2020 | 9 | 2020 |
| HackPPL: a universal probabilistic programming language J Ai, NS Arora, N Dong, B Gokkaya, T Jiang, A Kubendran, A Kumar, ... Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine …, 2019 | 8 | 2019 |
| Accelerating metropolis-hastings with lightweight inference compilation F Liang, N Arora, N Tehrani, Y Li, M Tingley, E Meijer International Conference on Artificial Intelligence and Statistics, 181-189, 2021 | 4 | 2021 |
| Crowdsourcing with Contextual Uncertainty VA Nguyen, P Shi, J Ramakrishnan, N Torabi, NS Arora, U Weinsberg, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 3 | 2022 |
| Yucen Lily Li, Kinjal Divesh Shah, David Noursi, Michael Tingley, Narjes Torabi, Eric Lippert, Erik Meijer, et al. Bean machine: A declarative probabilistic programming … N Tehrani, NS Arora International Conference on Probabilistic Graphical Models. PMLR, 2020 | 3 | 2020 |
| Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods NS Arora, NK Tehrani, KD Shah, M Tingley, YL Li, N Torabi, D Noursi, ... arXiv preprint arXiv:2001.05567, 2020 | 2 | 2020 |
| Newtonian Monte Carlo: a second-order gradient method for speeding up MCMC NS Arora, NK Tehrani, KD Shah, M Tingley, YL Li, N Torabi, D Noursi, ... Second Symposium on Advances in Approximate Bayesian Inference, 2019 | 2 | 2019 |
| Yucen Lily Li, Nazanin Khosravani Tehrani, Michael Tingley, David Noursi, Narjes Torabi, Sepehr Akhavan-Masouleh, Eric Lippert, and Erik Meijer. 2020. PPL Bench: Evaluation … S Kulkarni, KD Shah, NS Arora, X Wang | 2 | 2010 |
| More than just algorithms: A discussion with Alfred Spector, Peter Norvig, Chris Wiggins, Jeannette Wing, Ben Fried, and Michael Tingley A Spector, P Norvig, C Wiggins, J Wing, B Fried, M Tingley Queue 21 (1), 102-129, 2023 | 1 | 2023 |
| Towards the Quantum Machine: Using Scalable Machine Learning Methods to Predict Photovoltaic Efficacy of Organic Molecules MA Tingley | 1 | 2014 |
| Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers A Breuer, N Khosravani, M Tingley, B Cottel Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
| PPL Bench: Evaluation Framework For Probabilistic Programming Languages S Kulkarni, KD Shah, N Arora, X Wang, YL Li, NK Tehrani, M Tingley, ... arXiv preprint arXiv:2010.08886, 2020 | | 2020 |
| Uncertainty Estimation For Community Standards Violation In Online Social Networks N Torabi, NS Arora, E Yu, K Shah, W Liu, M Tingley arXiv preprint arXiv:2009.14519, 2020 | | 2020 |
| Bayesian Neural Networks using HackPPL with Application to User Location State Prediction B Gokkaya, J Ai, M Tingley, Y Zhang, N Dong, T Jiang, A Kubendran, ... Third workshop on Bayesian Deep Learning (NeurIPS 2018), 2018 | | 2018 |
| Approximate Influence Maximization as a Distributed Constraint Optimization Problem N Tucker, M Tingley | | 2013 |
| IMPLEMENTATION OF FIBER-REINFORCED POLYMERS AND IN PARTICULAR EPOXY AS A METHOD OF REINFORCEMENT FOR CEMENTITIOUS MATERIALS MA Tingley, S Choi, EP Douglas | | |
Beliz Ugurhan GokkayaFacebookVerified email at stanford.edu
Beliz Ugurhan GokkayaFacebookVerified email at stanford.edu