Nirjhar Das

@nhaghtal @afallah94 @ayushsawarni the title seems very close to your NeurIPS 2025 paper arxiv.org/abs/2505.22820.

Next up, we have Alireza Fallah (@afallah94) from Rice University, speaking about "Preference Alignment from Choices and Response Times".

Somehow it gets worse every year for theory folks.

Theory → Practice 📈 • Provable efficient algorithms • Works with standard ANN systems • Strong empirical gains in diversity while maintaining relevance in several real-world datasets Joint work with @BarmanSiddharth, @shivi98g & @KShiragur. See you at ICLR 2026 in Rio 🇧🇷

Prior work: diversity via hard constraint→not query-dependent Our insight: 📐 View attributes (seller, color, brand) as “agents” ⚖️ Nash Social Welfare to balance relevance & diversity Result: query-dependent solution. “shirts” → diverse results 🌈 “blue shirt” → all blue 🔵

🎉 Our paper accepted at ICLR 2026! We study the backbone of applications like search, recommendation, & RAG: “Nearest Neighbor Search.” But instead of optimizing only relevance, we ask 👉 Can we balance relevance & diversity in a principled way? Paper: arxiv.org/abs/2602.08742

Drop by our posters to talk about imperfect data and responsible AI. @stochastic_nir is seeking a PhD position this year, and I am seeking postdoctoral opportunities. (3/3)

2. Cost-Efficient Fairness Audit Under Partial Feedback (openreview.net/pdf?id=DSIWPUa…), at the Reliable ML (Sat 6 Dec 4 p.m. — 5 p.m. PST) and Regulatable ML workshop (Sun 7 Dec 8 a.m.— 5 p.m. PST). Led by @stochastic_nir , with Praharsh Nanavati, @KShiragur and Amit Deshpande.(2/3)

There *may* be some collusion, but how prevalent is this? Maybe a few papers, maybe a hundred? Clearly not enough to revert the whole ICLR discussion phase! Plus, organizers can closely track papers where the scores jumped drastically.

Joint work with awesome collaborators @mohitsharmaj29 Praharsh Nanavati @KShiragur Amit Deshpande

We give: • A realistic cost model for acquiring labels • Near-optimal audit algorithms in black-box • Cost-improved algo for mixture-model settings • Empirically ~50% lower audit cost vs. natural baselines • Extends to many fairness metrics

Thrilled that our paper arxiv.org/abs/2510.03734 will be presented by Amit Deshpande (MSRI) as poster @ 𝐍𝐞𝐮𝐫𝐈𝐏𝐒 𝟐𝟎𝟐𝟓 Workshop on Reliable ML from Unreliable Data! 🚀 Visit our poster on Dec 6 to know about this exciting work! #NeurIPS2025 #FairML #ResponsibleAI

@lokeshbag67 Quoting @NotSarkar "In India you hear feminism only where the AC is on".

The Indian feminist movement isn’t fighting for Dalit and Adivasi women to have safer jobs or better wages. It isn’t working to formalize their labour or demand wealth redistribution. Instead, it remains fixated on the concerns of Savarna women.

@Ramneet_Singhh Could you isolate that the error is due to the minted package? Couple of months back we had a hard time because of some bibliography style error. Changed from alpha to natbib and everything worked.

Does anyone have experience with using the minted package and uploading a paper to arxiv? Running into horrendous latex errors and reached nowhere after hours of debugging 🥲

The Summer School on Approximation Algorithms 2025 will be held at CSA 104, IISc, from 21st to 25th May 2025. This event is targeted towards postgraduate and senior undergraduate students. We are accepting applications till 25th March 2025.

It was an awesome course! Thoroughly enriching. Please check out the course webpage for the amazing resources curated by Prof @arindamkhan and Prof @BarmanSiddharth .

Travelling to @AshokaUniv to attend exSPLORe2025 workshop (ashoka.edu.in/event/exsplore/) from 14th to 18th January. Looking forward to learning and interacting with researchers and fellow students.

@publishiperishi Congratulations!

@lokeshbag67 One of the most bizarre (in a thought-provoking way) I have watched so far. Yorgos has gone back to his "Dogtooth" self, may be even more.

@Srikkanth_07 Irony of India is that people would rather be proud of IAF shows than raise concerns about the poor public transport service. Somehow, growing up, we have learnt to normalize pathetic public transport system.

#Chennai: Massive crowd at Velachery MRTS railway station to catch a train to reach Marina to watch the Indian Air Force’s Air show Commuters said they expected S Rly to operate more trains There was heavy traffic on Velachery Tambaram main road too 🎥 from Whatsapp