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ENTITY Non-Asymptotic Error Bounds for SMC with Biased Proposals: Application to Conditional Diffusion Sampling

Non-Asymptotic Error Bounds for SMC with Biased Proposals: Application to Conditional Diffusion Sampling

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  1. RESEARCH · CL_128355 ·

    New paper details non-asymptotic error bounds for biased SMC samplers · 3 sources tracked

    A new paper introduces a non-asymptotic error analysis for Sequential Monte Carlo (SMC) methods when using biased mutation kernels, which are common in post-hoc conditioning of generative models. The research decomposes…