Oliver Hines @ohines.bsky.social · 11/05/2026Preview slide for my ACIC talk tomorrow: The fundamental problem of observational causal inference is that the observed data distribution is different to the intervention distribution. The main solution is to learn some density ratios (importance weights) and reweight! 140
Reposted by Oliver HinesKara Rudolph @kararudolph.bsky.social · 24/11/2025Mind meld complete—these two showing up the same day with twin buzz cuts @calebhmiles.bsky.social @ohines.bsky.social 061
Oliver Hines @ohines.bsky.social · 21/10/2025New paper with @calebhmiles.bsky.social on density ratio learning! 071
Oliver Hines @ohines.bsky.social · 03/04/2025This week I started a new job as a postdoc at Columbia University! Excited to be back doing research and exploring NYC even with all the political madness that is going on 0100
