Pan Zhao赵攀

Postdoctoral Research Associate, Statistical Laboratory @Cambridge_Uni

[Arthur Gretton @ArthurGretton]

Proxy Variables for Causal Effect Estimation with Hidden Confounding

Keynote at @Conf_CLeaR 2026, video now online!

https://t.co/JiM2Nfxt4b

Slides (with bonus content and fewer bugs):
https://t.co/enXLK1k00V

(1/2)

[Econometrica @ecmaEditors]

When treatment locations are as-good-as-random, how do we estimate causal effects on nearby observations? Use counterfactual locations, known ex-ante or predicted via neural nets, and quantify uncertainty based on the quasi-experimental design.
https://t.co/mQ260FVpKd

[Rafael Irizarry @rafalab]

Congratulations to the R Core Team on receiving the 2026 Rousseeuw Prize for Statistics. For over 30 years, R Core has maintained one of the most important pieces of infrastructure in statistics. Little recognition, thousands of volunteer hours, and enormous impact. Thank you!

[Davide Viviano @VivianoDavide]

Updated WP to design cluster experiments, joint with @lihua_lei_stat , @guido_imbens, Brian, Okke and Liang (https://t.co/mH9QnSAdM8). More results on inference, optimization, and design without prior about spillovers (via regret minimization) + R package: https://t.co/bT5pl6ZcrD

[Arthur Gretton @ArthurGretton]

Optimized MMD for Detecting Distribution Shift!

Video:
https://t.co/bTJ0ZkU0zU

and slides
https://t.co/thNvTmjUz9

from the #ICLR26 workshop
https://t.co/WpUCAtJQPO

Covers:
https://t.co/x6syFYarxL
and
https://t.co/OBhBLVwNHc

[Econometrica @ecmaEditors]

When are causal parameters identified in instrumental variables models? This paper shows many such models share a common necessary and sufficient condition for identification that is constructive and suggests a simple sample-analogue estimator.
https://t.co/rF6Qrd38bo

[Peng Ding @pengding00]

A potential longer title of the paper is `DID when the event affects all units.' `FDID' is shorter but more esoteric. @xuyiqing

[Dan Roy @roydanroy]

Just heard Dimitri Bertsekas passed away. We would often chat after his Convex Analysis class. He was always very kind and encouraging of my theoretical pursuits. The guy wrote books like most people write papers. He was a true educator. Sorry that I didn't get to cross paths recently.

[Statistics (Machine Learning) Papers @StatsPapers]

Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models

Anchit Jain, Kevin Zhang, Stephen Bates
https://t.co/GR6XsMoC48 [𝚜𝚝𝚊𝚝.𝙼𝙻 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶]

[Triad sou. @triadsou]

Empirical Processes and Statistical Reinforcement Learning:
A Festschrift in Honor of Michael R. Kosorok. Shuangge Ma, Eric Laber (eds.) Chapman & Hall 2026, 384 Pages. https://t.co/Tyj9yDCnjP

[Econometrica @ecmaEditors]

When a Bayesian parametric model can be embedded in an encompassing semiparametric framework, likelihood augmentation via efficient scores delivers robustness to local misspecification and semiparametrically efficient inference.
https://t.co/KdYdwF1sDV

[Econometrics Papers @eBlogs]

Causal Graphs for Conditional Parallel Trends

Michael C. Knaus, Henri Pfleiderer
https://t.co/pvBTWwbkuB [𝚎𝚌𝚘𝚗.𝙴𝙼]

[Rémi Lodh @LodhSpringer]

This year, the world is marking the 200th anniversary of the birth of mathematician Bernhard Riemann. Renown historian David Rowe has undertaken a deep study of Riemann's life and work, completing what should be his definitive biography. It will be published in June, stay tuned!

[Stat.ML Papers @StatMLPapers]

Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots https://t.co/2zsalyy4oO

[Triad sou. @triadsou]

Double cross-fit doubly robust estimators: Beyond series regression. Alec McClean, Sivaraman Balakrishnan, Edward H Kennedy, Larry Wasserman. Journal of the Royal Statistical Society Series B: Statistical Methodology. https://t.co/kTwtTPBIHQ

[Journal of Machine Learning Research @JmlrOrg]

'Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models', by Nicola Gnecco, Jonas Peters, Sebastian Engelke, Niklas Pfister.

https://t.co/J9E8qDEob1

#generalization #prediction #causal

[Econometrics Papers @eBlogs]

When are time series predictions causal? The potential system and dynamic causal effects

Jacob Carlson, Neil Shephard
https://t.co/mGW3O5nxy2 [𝚎𝚌𝚘𝚗.𝙴𝙼 𝚜𝚝𝚊𝚝.𝙼𝙴]

[Econometrics Papers @eBlogs]

Two Approaches to Direct Estimation of Riesz Representers

David Bruns-Smith
https://t.co/2Nsxd9FhaG [𝚎𝚌𝚘𝚗.𝙴𝙼 𝚜𝚝𝚊𝚝.𝙼𝙻]

[Yiqing Xu @xuyiqing]

I will stop maintaining my Stata packages and focus on developing R and Python packages (w/ AI, ofc) in my spare time.

Apologies 🙏. I feel there's no other way. Also, providing free labor to a company that charges for using multiple cores on my computer does not feel right.

[Lester Mackey @LesterMackey]

Qiang Liu, Chris Oates, and I are writing a monograph on Probabilistic Inference and Learning with Stein’s Method, and we’d love to get your feedback on the first draft