Tiffany Ding (@tifding) 's Twitter Profile
Tiffany Ding

@tifding

Statistics PhD student @UCBerkeley

ID: 1669995126708633600

linkhttp://tiffanyding.github.io calendar_today17-06-2023 09:07:49

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259 Followers

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Tiffany Ding (@tifding) 's Twitter Profile Photo

Interested in uncertainty quantification and how to make conformal prediction sets more practically useful? Come to our poster at #NeurIPS23! 📍Poster #1623 🕙 Thursday 10:45-12:45 w/ Anastasios Nikolas Angelopoulos, Stephen Bates, Michael I. Jordan & Ryan Tibshirani arxiv.org/abs/2306.09335

Interested in uncertainty quantification and how to make conformal prediction sets more practically useful? Come to our poster at #NeurIPS23!

📍Poster #1623
đź•™ Thursday 10:45-12:45
w/ <a href="/ml_angelopoulos/">Anastasios Nikolas Angelopoulos</a>, <a href="/stats_stephen/">Stephen Bates</a>, Michael I. Jordan &amp; Ryan Tibshirani

arxiv.org/abs/2306.09335
Anastasios Nikolas Angelopoulos (@ml_angelopoulos) 's Twitter Profile Photo

📣Announcing the 2024 NeurIPS Workshop on Statistical Frontiers in LLMs and Foundation Models 📣 Submissions open now, deadline September 15th sites.google.com/berkeley.edu/b… If your work intersects with statistics and black-box models, please submit! This includes: ✅ Bias ✅

📣Announcing the 2024 NeurIPS Workshop on Statistical Frontiers in LLMs and Foundation Models 📣

Submissions open now, deadline September 15th

sites.google.com/berkeley.edu/b…

If your work intersects with statistics and black-box models, please submit! This includes:
âś… Bias
âś…
Jivat Kaur (@jivatneet) 's Twitter Profile Photo

📯 New work! Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores. arxiv.org/abs/2501.10139 How useful are prediction sets that achieve 90% marginal coverage by failing on 10% cases that are challenging? Not very useful for clinicians who require