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Amin Rahimian

@rahimian.bsky.social

assistant prof | networks, data, decisions https://aminrahimian.github.io/ https://sociotechnical.pitt.edu/

29 Posts542 Follower561 Folgt
Amin Rahimian@rahimian.bsky.social · last mo.

arxiv.org/abs/2305.16590 addresses a trilemma in seeding under costly and privacy-sensitive network information to balance (i) cost of acquiring network data, (ii) benefit of improved seeding from more network data, and (iii) privacy loss from using network data (in both local & central DP regimes)

Seeding with Differentially Private Network Information

In public health interventions such as distributing preexposure prophylaxis (PrEP) for HIV prevention, decision makers often use seeding algorithms to identify key individuals who can amplify interven...

arxiv.org

Amin Rahimian@rahimian.bsky.social · last mo.

arxiv.org/abs/2305.16590 addresses a trilemma in seeding under costly and privacy-sensitive network information to balance (i) cost of acquiring network data, (ii) benefit of improved seeding from more network data, and (iii) privacy loss from using network data (in both local & central DP regimes)

Seeding with Differentially Private Network Information

In public health interventions such as distributing preexposure prophylaxis (PrEP) for HIV prevention, decision makers often use seeding algorithms to identify key individuals who can amplify interven...

arxiv.org

Alex Teytelboym@t8el.bsky.social · 2mo ago

The list of 290 papers we accepted for EC'26 is now up: ec26.sigecom.org/program/acce... We are really grateful to the whole programme committee for their hard work and to the authors for submitting many terrific papers. See you all in Rome in July 🍕🇮🇹🍝☀️🤖

EC 2026 Accepted Papers - EC 2026

1. Congested Waiting Lists and Organ Allocation Authors: Itai Ashlagi (Stanford University), Ravi Jagadeesan (Stanford University), Pengyu Qian (Boston University) 2. Automated Social Science: Languag...

ec26.sigecom.org

Amin Rahimian@rahimian.bsky.social · 3mo ago

@yuxin-pitt.bsky.social 's works span the theory-application spectrum nicely. In privacy-aware sequential learning (arxiv.org/abs/2502.19525), he develops randomized mechanisms that mitigate herding, providing new theoretical insights into how noise can enhance learning rather than hinder it. 1/3

Privacy-Aware Sequential Learning

In settings like vaccination registries, individuals act after observing others, and the resulting public records can expose private information. We study privacy-preserving sequential learning, where...

arxiv.org

Amin Rahimian@rahimian.bsky.social · 3mo ago

@yuxin-pitt.bsky.social 's works span the theory-application spectrum nicely. In privacy-aware sequential learning (arxiv.org/abs/2502.19525), he develops randomized mechanisms that mitigate herding, providing new theoretical insights into how noise can enhance learning rather than hinder it. 1/3

Privacy-Aware Sequential Learning

In settings like vaccination registries, individuals act after observing others, and the resulting public records can expose private information. We study privacy-preserving sequential learning, where...

arxiv.org

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Andrew Gelman et al.@statmodeling.bsky.social · 10mo ago

Bayesian probability, like frequentist probability, is a model-based activity that is mathematically anchored by physical randomization at one end and calibration to a reference set at the other statmodeling.stat.columbia.edu/2025/10/20/b...

Bayesian probability, like frequentist probability, is a model-based activity that is mathematically anchored by physical randomization at one end and calibration to a reference set at the other | St...

statmodeling.stat.columbia.edu

Emma Pierson@emmapierson.bsky.social · 12mo ago

🚨 New postdoc position in our lab at Berkeley EECS! 🚨 (please reshare) We seek applicants with experience in language modeling who are excited about high-impact applications in the health and social sciences! More info in thread 1/3

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Ben Golub@bengolub.bsky.social · last yr.

I've been working on a new tool, Refine, to make scholars more productive. If you're interested in being among the very first to try the beta, please read on. Refine leverages the best current AI models to draw your attention to potential errors and clarity issues in research paper drafts. 1/

Kenny Joseph@kennyjoseph.bsky.social · last yr.

UB's new Department of AI and Society is hiring faculty across ranks (Assistant, Associate, Full Professor). We’re looking for transdisciplinary scholars interested in building AI by society, for society. Start dates begin Fall 2025. More info: www.ubjobs.buffalo.edu/postings/57734

Assistant, Associate or Full Professor, AI & Society

The Department of AI and Society (AIS) at the University at Buffalo (UB) invites candidates to apply for multiple positions as Assistant Professor, Associate Professor, or Full Professor. The new AIS ...

ubjobs.buffalo.edu

Amin Rahimian@rahimian.bsky.social · last yr.

ACM EAAMO, which is coming to Pitt this Fall, has two events for students: a doctoral consortium and a poster session, both of which are due July 25th - poster session conference.eaamo.org/cfp/call_for... - doctoral consortium conference.eaamo.org/cfp/call_for...

Call for Posters

We seek poster contributions from different fields that offer insights into the intersectional design and impacts of algorithms, optimization, and mechanism design with a grounding in the social scien...

conference.eaamo.org

Amin Rahimian@rahimian.bsky.social · last yr.

ACM EAAMO, which is coming to Pitt this Fall, has two events for students: a doctoral consortium and a poster session, both of which are due July 25th - poster session conference.eaamo.org/cfp/call_for... - doctoral consortium conference.eaamo.org/cfp/call_for...

Call for Posters

We seek poster contributions from different fields that offer insights into the intersectional design and impacts of algorithms, optimization, and mechanism design with a grounding in the social scien...

conference.eaamo.org