1 citations · 1 across the 5 of their papers we have counts for
5 papers
A new tail bound for the sum of bounded independent random variables
Jackson Loper, Jeffrey Regier
We construct a new tail bound for the sum of independent random variables for situations in which the expected value of the sum is known and each random variable lies within a spec…
Globally Convergent Variational Inference
Declan McNamara, Jackson Loper, Jeffrey Regier
In variational inference (VI), an approximation of the posterior distribution is selected from a family of distributions through numerical optimization. With the most common variat…
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference
Declan McNamara, Jackson Loper, Jeffrey Regier
For training an encoder network to perform amortized variational inference, the Kullback-Leibler (KL) divergence from the exact posterior to its approximation, known as the inclusi…
Improving Accuracy in Cell-Perturbation Experiments by Leveraging Auxiliary Information
Jackson Loper, Noam Solomon, Jeffrey Regier
Modern cell-perturbation experiments expose cells to panels of hundreds of stimuli, such as cytokines or CRISPR guides that perform gene knockouts. These experiments are designed t…
Variational Inference with Coverage Guarantees in Simulation-Based Inference
Yash Patel, Declan McNamara, Jackson Loper +2
Amortized variational inference is an often employed framework in simulation-based inference that produces a posterior approximation that can be rapidly computed given any new obse…