Emil Carlsson retweetledi
Sleep Cycle just gave its app an AI upgrade that could drastically improve your sleep t3.com/home-living/sl…
English
Emil Carlsson
62 posts
Emil Carlsson
@ecarlsn
Reinforcement Learning and Statistics.
Katılım Ekim 2019
341 Takip Edilen74 Takipçiler
Emil Carlsson retweetledi
Over the past five years, I’ve been focused on my PhD in machine learning, studying how to leverage historical data for interactive personalization, at Chalmers University in Sweden. For more on my work and other AI endeavours, visit newtonmwai.github.io!
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Work together with Herman Bergström, @frejohk and Devdatt Dubhashi
Svenska
Attending NeurIPS and interested in preference learning?
Visit our poster today to learn about GURO, an active learning algorithm that greedily minimizes a bound on the ordering error to determine the next query.
📍 Session: West Ballroom, Booth 6604
🕚 Time: 11:00 AM - 2:00 PM
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I’m at NeurIPS this week presenting joint work with Herman Bergström, @frejohk and Devdatt Dubhashi on how to use context for better preference learning.
Feel free to reach out if you want to discuss the paper!
arxiv.org/pdf/2405.03059
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Emil Carlsson retweetledi
I'm at NeurIPS, eager to talk about the two papers from my group!
The first, by Herman Bergström, Emil Carlsson, Devdatt Dubhashi, and me, explores how important context is to active preference learning for ordering items from pairwise comparisons: arxiv.org/abs/2405.03059
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I would also like to express my gratitude towards Kenny Smith, who served as the opponent during my public defense, as well as to the members of my grading committee: Karl Åström, @VerhoefTessa , and @ssshanest.
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I successfully defended my PhD thesis earlier this week! 😃👨🎓 It feels a bit weird not to be a student anymore😅
I am very grateful for all the support I've received from my supervisor, Devdatt Dubhashi, and my co-supervisor, @frejohk , throughout these years.
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A bit late to the party but our paper on active energy optimization with preference dynamics got accepted to the biggest Physics conference in Vancouver this year.
Work together with Herman Bergström, @frejohk and Devdatt Dubhashi.
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Emil Carlsson retweetledi
Emil Carlsson retweetledi
#CVPR2025 changes:
"If a reviewer is flagged by an Area Chair as “highly irresponsible”, their paper submissions will be desk rejected per the discretion of the PCs"
👏👏👏
cvpr.thecvf.com/Conferences/20…
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Emil Carlsson retweetledi
Pretty strong evidence of negative mental health effects of doing a PhD.
Recent working paper by
@EvaRanehill, @annahsandberg, Sanna Bergvall, and Clara Fernström.
Paper link: swopec.hhs.se/lunewp/abs/lun…
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Emil Carlsson retweetledi
Searching for optimal decision-making policies without constraints typically results in universal recommendations: Always do A, not B! Not so if you have constraints on budget, diversity, side effects, etc. [1/2]
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Emil Carlsson retweetledi
Call for papers for AISTATS 2025 is out now
aistats.org/aistats2025/ca…
You can also (self-)nominate for reviewer/AC position
forms.gle/saediFoTznTQ7h…
We are (trying to) switch to OpenReview so submission details will be available a bit later.
@StephanMandt @liyzhen2 @ashipra
1/
Emtiyaz Khan@EmtiyazKhan
AISTATS 2025 will also be held in Asia (Phuket, Thailand) the following week (May 1 I think). I will co-chair with @ashipra. Easy to fly from Singapore (just 2 hours direct flight for around $100). The venue, right next to the beach. Plan to attend both ICLR and AISTATS in Asia!
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Emil Carlsson retweetledi
As bandits serve as the cornerstone of decision making with incomplete info & sequential interactions (e.g. recommenders), privacy becomes a pressing concern. We show #DifferentialPrivacy for (some) bandits is free. Is it true for contextual bandits also? #COLT2024 #openproblem
Scool@InriaScool
We've derived tight lower and upper bounds for differentially private finite-armed & linear bandits, while we lack the same for contextual bandits. At #COLT2024, @achraf_azize presents open problems in contextual bandits with privacy. @BasuDebabrota @Inria_Lille @RechercheUlille
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