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Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference., , , , , , , , , and . PGM, volume 138 of Proceedings of Machine Learning Research, page 485-496. PMLR, (2020)PPL Bench: Evaluation Framework For Probabilistic Programming Languages., , , , , , , , , and 2 other author(s). CoRR, (2020)The Signals that Potential Contributors Look for When Choosing Open-source Projects., , , , and . Proc. ACM Hum. Comput. Interact., 3 (CSCW): 122:1-122:29 (2019)Simplifying Neural Network Training Under Class Imbalance., , , , and . CoRR, (2023)Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods., , , , , , , , , and . CoRR, (2020)A Study of Bayesian Neural Network Surrogates for Bayesian Optimization., , and . CoRR, (2023)Accelerating Metropolis-Hastings with Lightweight Inference Compilation., , , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 181-189. PMLR, (2021)Accelerating Metropolis-Hastings with Lightweight Inference Compilation., , , , , and . CoRR, (2020)