Alireza Fallah

645 posts

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Alireza Fallah

Alireza Fallah

@afallah94

Assistant Professor @ Rice University, Former Postdoc @ UC Berkeley EECS 🎓PhD from MIT EECS

เข้าร่วม Eylül 2018
567 กำลังติดตาม1.4K ผู้ติดตาม
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Alireza Fallah
Alireza Fallah@afallah94·
🧵1/ How should we balance accuracy and fairness when one predictive model has to serve multiple demographic groups? In our new paper with @annieulichney and Mike Jordan, “The Statistical Fairness-Accuracy Frontier”, we turn the fairness-accuracy frontier into a practical, finite-sample tool. TL;DR: Implementing fairness–accuracy trade-offs from finite data distorts the frontier; we provide minimax-optimal estimators, optimal sampling rules, and confidence bands for the empirical frontier.
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Alireza Fallah
Alireza Fallah@afallah94·
This week’s workshop, “Agency in Collaborative Learning,” at @SimonsInstitute will feature many talks at the intersection of economics and machine learning. I’ll also be speaking on Tuesday about this work on preference alignment using choice and response-time data. The talks will be streamed online, and the schedule with the streaming links is available here: simons.berkeley.edu/workshops/agen…
Alireza Fallah@afallah94

🧵1/ We recently put out a paper on estimating preferences using response time data. I’m sharing it here in the hope of getting feedback, or even just general thoughts!

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Nika Haghtalab
Nika Haghtalab@nhaghtal·
This week I was promoted to the rank of Associate Professor at @Berkeley_EECS ! In a remarkable show of enthusiasm, the committee apparently tore a hole in spacetime to make me an Associate Professor 9 months ago!
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Rice Computer Science
Rice Computer Science@RiceCompSci·
Congratulations to Moshe @Vardi, Univ Prof at Rice, named a 2026 NAAI Academy Award laureate by the National Academy of Artificial Intelligence. He was recognized for his seminal contributions to logic-based AI & formal reasoning in intelligent systems. bit.ly/4bv5ahg
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Alireza Fallah
Alireza Fallah@afallah94·
If you’re on the Berkeley campus, I’ll be presenting this work at the @SimonsInstitute workshop on “Learning from Heterogeneous Sources” at 2:15 PM PT (less than an hour from now!). You can find the workshop schedule, along with the livestream links to all the talks (including mine), here: simons.berkeley.edu/workshops/lear…
Alireza Fallah@afallah94

🧵1/ How should we balance accuracy and fairness when one predictive model has to serve multiple demographic groups? In our new paper with @annieulichney and Mike Jordan, “The Statistical Fairness-Accuracy Frontier”, we turn the fairness-accuracy frontier into a practical, finite-sample tool. TL;DR: Implementing fairness–accuracy trade-offs from finite data distorts the frontier; we provide minimax-optimal estimators, optimal sampling rules, and confidence bands for the empirical frontier.

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Surbhi Goel
Surbhi Goel@SurbhiGoel_·
Honored and grateful to be selected as a Sloan fellow this year! A big thanks to my wonderful students, collaborators, and mentors, none of this would be possible without you all.
Sloan Foundation@SloanFoundation

Congrats to the 126 early-career scholars awarded a 2026 Sloan Research Fellowship, whose creativity and innovation set them apart as the next generation of scientific leaders! Our Fellows represent 7 fields and 44 institutions across the US and Canada. sloan.org/fellowships/20…

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Foundations of Responsible Computing
Did you just miss punching your ticket to Rio or Salt Lake City? Wanna go to a conference where people will engage with you and your paper on foundations of responsible computing, and you won't get lost in the crowd? Submit to #FORC2026, in Boston in June! Deadline in 2 weeks.
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Alireza Fallah
Alireza Fallah@afallah94·
Do you work at the intersection of AI, mechanism design, strategic behavior, and their impact on society? Consider submitting your work to the “AI for Mechanism Design and Strategic Decision Making” (AIMS) workshop at ICLR 2026 (@iclr_conf). The submission deadline is February 3rd, and we welcome both short (4-page) and long (9-page) paper submissions. We also have a fantastic lineup of speakers! More information about submissions can be found on the workshop webpage: alimama-tech.github.io/aims-2026/
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Yanan Sui
Yanan Sui@YananSui·
@iclr_conf ICLR_2026_Workshops_names_20251201
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Aaron Roth
Aaron Roth@Aaroth·
2025 was an eventful/disruptive year for computer science research, for two reasons: 1) a shock to federal funding, and 2) the arrival of AI models capable enough to assist mathematical research. 1) is unambiguously bad and 2) is probably mostly good. I'll write about AI first.
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Kamalika Chaudhuri
Kamalika Chaudhuri@kamalikac·
I started a new personal blog The AI Observer on my observations on AI: kamalikachaudhuri.substack.com Teaser: the first few posts will talk about generalization, alignment, what statistical learning theory gets wrong and right, and where the (non-obvious) open problems are buried.
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Ali Behrouz
Ali Behrouz@behrouz_ali·
We keep scaling model parameters by increasing width and stacking more layers, but what if the truly missing axes for continual learning are compression and stacking the learning process? Excited to share the full version of Nested Learning, a new paradigm for continual learning and machine learning in general. Paper: nestedlearning.net/paper
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Ben Golub
Ben Golub@ben_golub·
This NYT article on the "golden age" of air travel is an amazing example of an unthinking journalist failing to make contact with reality. The narrative: air travel used to be much better, but less affordable. 1/
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Sima Noorani
Sima Noorani@NooraniSimaa·
When humans and AI collaborate, what should uncertainty quantification look like? Our new paper proposes two principles---no counterfactual harm and complementarity---and gives distribution-free guarantees without assumptions on the task, AI model, or human behavior.
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Aaron Roth
Aaron Roth@Aaroth·
Honored to follow in the footsteps of so many other great researchers at Penn that I admire.
Penn Engineering@PennEngineers

Congratulations to Aaron Roth (@Aaroth), the Henry Salvatori Professor of Computer & Cognitive Science (@cis_penn), for receiving the 2025-26 George H. Heilmeier Faculty Award for Excellence in Research. Roth has been recognized for his fundamental contributions "to formalizing, quantifying and enforcing data privacy and algorithmic fairness.” The 2025-26 Heilmeier Lecture will be held in spring 2026. events.seas.upenn.edu/distinguished-…

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