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Dharmesh Tailor
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Dharmesh Tailor
@dtailor17
PhD student at @AmlabUva, University of Amsterdam // ex-Spotify, ex-Qualcomm research intern
Amsterdam, The Netherlands
dvtailor.github.io
Joined May 2010
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  • user avatar
    Dharmesh Tailor
    @dtailor17
    Apr 17
    📢 We are thrilled to announce the 2nd Workshop on Safe AI, co-located with @UncertaintyInAI in Amsterdam 🌟Submit your latest works in Safe AI (deadline: May 28, 2026 AoE) We welcome both extended abstracts (4 pages) and recently accepted papers (original format).
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  • user avatar
    Dharmesh Tailor
    @dtailor17
    Apr 25, 2025
    Come check out our #ICLR2025 poster "Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence": Fri 25 April, 3-5:30pm. Hall 3 + Hall 2B #440 w/ @ahc_correia, Eric Nalisnick, Christos Louizos openreview.net/forum?id=vcX0k…
    user avatar
    UvA AMLab
    @AmlabUva
    Apr 23, 2025
    Replying to @AmlabUva
    Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence by @dtailor17 @ahc_correia Eric Nalisnick, Christos Louizos ➡️ openreview.net/forum?id=vcX0k… ⚠️ Fri 25 Apr 3 p.m // Hall 3 + Hall 2B #440
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  • user avatar
    Dharmesh Tailor
    @dtailor17
    May 2, 2024
    Come check out our #AISTATS2024 oral paper "Learning to Defer to a Population: A Meta-Learning Approach": - Oral Session: Fri 3 May, 4-5pm - Poster: Fri 3 May, 5-7pm. Multipurpose Room 1 #33 w/ Aditya Patra, @RaajeevVerma, @pmangg, @eric_nalisnick proceedings.mlr.press/v238/tailor24a… 🧵
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  • user avatar
    Dharmesh Tailor
    @dtailor17
    Dec 13, 2023
    Stop by our poster on "Memory Perturbation Equation" at NeurIPS 2023 starting in less than 30 minutes (#1310)
    user avatar
    Thomas Möllenhoff
    @tmoellenhoff
    Dec 10, 2023
    First time at NeurIPS since 2019. I'm presenting our work on deriving influence measures from a Bayesian viewpoint (with @EmtiyazKhan @PeterNickl_ @dtailor17 @L_u_X_u). Suggests cheap ways of computing influence also during training. Please say hi:) arxiv.org/abs/2310.19273
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  • user avatar
    Dharmesh Tailor
    @dtailor17
    Oct 5, 2023
    The tech-staff position is a really great pre-doc opportunity to jump start your research career in ML. Not only do you get to work with brilliant people at the cutting edge of the field but you get to live/work in the centre of Tokyo. (1/2)
    user avatar
    Emtiyaz Khan
    @EmtiyazKhan
    Sep 27, 2023
    We have two open positions in our group in Tokyo (start date is April 2024). Postdoc/research-scientist: riken.jp/en/careers/res… Postdoc or tech-staff (pre-PhD): riken.jp/en/careers/res… Help me spread the word!

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