Gaurav Arya
@NotGauravArya
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Excited about this new working paper! Monte Carlo samplers are a wonderfully interesting class of discrete+continuous random processes, and taking their derivative can have a number of applications π
Differentiating Metropolis-Hastings to Optimize Intractable Densities. (arXiv:2306.07961v1 [ https://t.co/zjV5HgYw5a])
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π£ Announcing a new working paper on ππΎπ»π»ππππππΎπΆπ·ππ Metropolis-Hastings https://t.co/Q1tMwHTsHl π§΅
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Differentiating Metropolis-Hastings to Optimize Intractable Densities. (arXiv:2306.07961v1 [ https://t.co/zjV5HgYw5a])
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Check out @MoritzSchauer's announcement! https://t.co/nKbBKpUBgV
π£ Announcing a new working paper on ππΎπ»π»ππππππΎπΆπ·ππ Metropolis-Hastings https://t.co/Q1tMwHTsHl π§΅
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Our 4-page paper presents some key ideas on how to get there. In particular, we aim to form a *consistent* derivative estimator a la the usual Ergodic theorem.
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