Yanjun Han

55 posts

Yanjun Han

Yanjun Han

@yanjun_han

Assistant Professor of math and data science @NYU_Courant and @NYUDataScience | Former PhD @stanford_ee, postdoc @SimonsInstitute @mit | views are my own

New York, NY เข้าร่วม Eylül 2020
216 กำลังติดตาม1.3K ผู้ติดตาม
Yanjun Han
Yanjun Han@yanjun_han·
RT @zhun_deng: 🔥 The key isn’t more compute — it’s better allocation. Test-time self-consistency improves reasoning by sampling multiple t…
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Yanjun Han
Yanjun Han@yanjun_han·
@GuanyangW Yes! Both rely on the classical idea of posterior contraction
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Yanjun Han
Yanjun Han@yanjun_han·
New paper alert: arxiv.org/abs/2602.15136 Why do pretrained transformers succeed at empirical Bayes? Rather than analyzing architecture or training dynamics, we ask a statistical question: how can a fixed training prior perform well under arbitrary test distributions? [1/2]
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Yanjun Han
Yanjun Han@yanjun_han·
Our answer: Universal priors exist, just because of the classical phenomenon of posterior contraction! A pretrained estimator under such priors adapt to different test distributions, and generalize to different lengths. Comments welcome! [2/2]
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Weijie Su
Weijie Su@weijie444·
It is my tremendous honor and privilege to receive the 2026 COPSS Presidents' Award. Statistics is powerful and will only grow more vital in the AI age. Grateful to my mentors, collaborators, colleagues, and students who made this journey possible.
@

Congratulations to Prof. Weijie Su (@weijie444) from our Statistics and Data Science Department on being named the recipient of this year's Committee of Presidents of Statistical Societies (@COPSSNews) Presidents' Award: whr.tn/3ZToJu9 The honor is given annually to a

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Yanjun Han
Yanjun Han@yanjun_han·
A key technical challenge is to show a quantitative mean-field approximation of the best permutation-invariant decision rule by a simple rule. We managed to apply the tools we developed last year arxiv.org/abs/2408.09341 to give tight results in Gaussian and Poisson models! [3/3]
Yanjun Han tweet media
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Yanjun Han
Yanjun Han@yanjun_han·
Technically, we resolved a decade-old competitive gap in papers.nips.cc/paper/by-sourc…, an award-winning paper in NeurIPS 2015. Yihong Wu brought this question to me years ago, and we are so happy to solve it along with two amazing collaborators Jon Niles-Weed and Yandi Shen! [2/3]
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Yanjun Han
Yanjun Han@yanjun_han·
New preprint out: arxiv.org/abs/2509.07355! For the good old problem of distribution estimation, we use empirical Bayes and nonparametric MLE, two cornerstones of 20th century statistics, to propose a new, efficient, parameter-free, and competitively optimal estimator. [1/3]
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Yanjun Han รีทวีตแล้ว
Edward Kennedy
Edward Kennedy@edwardhkennedy·
there are surprisingly many open problems when it comes to theory/methods in causal inference check out this talk by Siva Balakrishnan for an excellent & comprehensive summary of the state of the art youtube.com/live/Mnum0Ox1f… stat.cmu.edu/~siva/
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Edward Kennedy tweet mediaEdward Kennedy tweet mediaEdward Kennedy tweet mediaEdward Kennedy tweet media
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Yanjun Han
Yanjun Han@yanjun_han·
I haven’t enjoyed the mathematics in a paper this much in a long time: arxiv.org/abs/2408.09341 Summary: an example of performing method-of-moment type analysis for high-dimensional mixtures. Joint work with my amazing colleague Jonathan Niles-Weed.
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Yanjun Han
Yanjun Han@yanjun_han·
@kc_shineth Just apply directly and mention your research interests & my name!
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Shineth
Shineth@kc_shineth·
@yanjun_han I met the admission requirements!. Should I send you an email or I should apply directly and mention your name.
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Yanjun Han รีทวีตแล้ว
@·
The Nobel prize to Giorgio Parisi is such a joy and and multiply well deserved recognition: In random order: (1) Stochastic quantization; (2) The KPZ equation; (3) Matrix models; (4) Mean field spin glasses (!); (5) Random constraint satisfaction problems. 1/2
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Yanjun Han
Yanjun Han@yanjun_han·
@SmileCSmile unfortunately stanford policies do not allow so for student privacy concerns...
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Smile
Smile@SmileCSmile·
@yanjun_han FYI If you deliver the course via zoom then you can stream on YouTube, as many professors around the globe currently are doing so.
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Yanjun Han
Yanjun Han@yanjun_han·
I'm teaching a new course at Stanford this spring! It will be an advanced course on information-theoretic lower bounds in data science, with both the science part (diverse set of tools and ideas) and the art part (what and how to apply). Check it out at stanford.io/3ssxmcY!
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