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Trans-Dimensional Generative Modeling via Jump Diffusion Models., , , , , and . CoRR, (2023)Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support., , and . CoRR, (2023)Faithful Inversion of Generative Models for Effective Amortized Inference., , , , , , and . NeurIPS, page 3074-3084. (2018)Active Testing: Sample-Efficient Model Evaluation., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5753-5763. PMLR, (2021)Amortized Rejection Sampling in Universal Probabilistic Programming., , , , , , , , , and 2 other author(s). AISTATS, volume 151 of Proceedings of Machine Learning Research, page 8392-8412. PMLR, (2022)Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 829-837. PMLR, (2024)Tighter Variational Bounds are Not Necessarily Better., , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4274-4282. PMLR, (2018)Active Learning under Pool Set Distribution Shift and Noisy Data., , and . CoRR, (2021)Modern Bayesian Experimental Design., , , and . CoRR, (2023)Deep Stochastic Processes via Functional Markov Transition Operators., , , , and . CoRR, (2023)