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