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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
photodump
publications
Discussion of Model Uncertainty and Missing Data: An Objective Bayesian Perspective
Published in Bayesian Analysis, 2025
See page 56-59 for our contributed discussion of the paper.
talks
Inverse Autoregressive Flows Permalink
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This presentation discusses the interplay between Variational Inference and Normalizing Flows, and explains a specific type of NF called inverse autoregressive flow (IAF) proposed in this paper.
Convex and Nonconvex Optimization for Low Rank Matrix Completion Permalink
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This presentation reviews the progress of convex and nonconvex approaches that deal with low-rank matrix completion and aims to unravel the inherent synergies between these two approaches.
Conformal Prediction as Bayesian Quardrature Permalink
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This presentation discusses the paper Conformal Prediction as Bayesian Quardrature. It demonstrates a clever reformulation to recover conformal methods by the posterior mean over quantiles.
Bayesian workflow in PyMC Permalink
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This tutorial walks through common steps of the Bayesian workflow in PyMC and provides some pointers I find useful for further reading.
teaching
Teaching & Mentoring
, , 1900
I enjoy teaching, and I value the power of articulation: expressing ideas concisely and helping others understand technical concepts jargon-free.
writing
Stochastic Gradient MCMC Permalink
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This report reviews stochastic gradient MCMC samplers based on this paper.
Local Average Treatment Effect (LATE) Permalink
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This report briefly explains the concept of LATE and reviews the paper Identification of Causal Effects using Instrumental Variables
the Statistical Limit of Arbitrage Permalink
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This report reviews the paper the Statistical Limit of Arbitrage and draw connections between optimal feasible portfolio and empirical Bayes based on Tweedie’s formula.