Joined October 2010
- Tweets 83
- Following 523
- Followers 1,153
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6 Photos and videos
22 Feb 2025
🚀 Excited to be at AAAI! 🚀 Join me on Tuesday, 25th Feb to explore the fascinating ways causality brings clarity to messy datasets. See you in Philadelphia! 👋#AAAI2025 #CausalDataScience #MissingData #noniidData
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17 Dec 2024
Honored to speak on causality at #IBC2024 in Atlanta! 🎉 Humbled to hear my work on missing data has helped improve outcomes for children. 🙏✨ Huge shout-out to the researchers at Murdoch Children's Research Institute! 👏🌟 @yudapearl @_MargaritaMB @JiaxinZhang96 @ghazalehdashti
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9 Dec 2024
Challenging the IID assumption is key to advancing AI/ML, as real-world data often violates IID. We are excited to present our paper that explores this frontier.
9 Dec 2024
Do Finetti: On Causal Effects for Exchangeable Data.
#NeurIPS2024
Oral Session 5B: Fri 13 Dec 10 a.m. — 11 a.m. PST
Poster: West Ballroom A-D #5000
Fri 13 Dec 11 a.m. — 2 p.m. PST
joint work with @zcccucla @Carthica @fhuszar @bschoelkopf
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Karthika Mohan retweeted
3 Jun 2024
New preprint: Do Finetti w/@zcccucla, @Carthica, @fhuszar, @bschoelkopf and me.
arxiv.org/abs/2405.18836
Do Finetti provides a do-calculus foundation for exchangeable data following the independent causal mechanism (ICM) principle a causal Pólya urn model to show how interventions propagate effects in exchangeable settings. [1/n]
🧵👇
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1 May 2024
We invite submissions of extended abstracts, up to 2 pages in length, to the UAI Causal Inference Workshop.
Excited to announce the 9th #causality workshop at @UncertaintyInAI with @raziehnabi @Carthica @CalebMiles16 @d_malinsky 🎉
Do you have interesting work in #causality #causalInference #causalDiscovery #CRL etc?
Consider submitting an abstract by May 31st:
sites.google.com/view/causal…
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26 Mar 2024
I discussed the application of Operations Research methods to the challenge of Causal Discovery with Imperfect Data at the Computing Community Consortium (CCC) AI/OR Workshop in Washington DC. Grateful for the opportunity and huge thanks to the fantastic organizers!
21 Mar 2024
In the third technical presentation of the AI / OR workshop, Karthika Mohan talks about how to use integer programming for causal inference over incomplete data #orms #monarchsofmip
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8 Sep 2023
Enjoying every page of this book! Delighted by the dedicated chapter on causality, thrilled with the missing data section, and grateful for the shoutout to my work with @yudapearl . A must-read for AI students.
linkedin.com/posts/alan-mack…
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Karthika Mohan retweeted
25 Aug 2023
Remember PO's slogan "causal inference is a missing-data problem"? Well, here @Carthica shows the opposite: "missing-data is a causal problem": ucla.in/3sxeqOW. Her gentle introduction through simple and meaningful examples should convince everyone, including the staunchest statistician.
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16 Jun 2023
Congratulations to Dr. Chi Zhang (@zcccucla) on defending her PhD thesis! Her work on interference pushes research boundaries and highlights the perils of blindly assuming IID. Well done, Dr. Zhang! It's been a delightful journey collaborating with you. 🥳🎉🍾
@yudapearl @oacarah
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15 Sep 2022
Is it safe to assume IID when you know that data are not IID? What conditions contribute to bias when estimating causal effects? How can we remove bias due to interference? Answers to these and more are discussed in our paper!
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Karthika Mohan retweeted
31 May 2022
Hear Hear 📢📢📢 Excited to announce the First EPFL Causality Workshop, sponsored by the EPFL School of Engineering #epflSTI.
First Speaker is Prof. Aapo Hyvärinen, on 'Causal discovery based on latent variable models'.
More Info & (free) Registration👉causality2022.epfl.ch/
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14 Mar 2022
Ah! the long-awaited book is here!🥳🥳 For a gentle introduction to missing data from a causal perspective, see my chapter, dl.acm.org/doi/10.1145/35017…
14 Mar 2022
Out at last: 'Probabilistic and Causal Inference: The Works of Judea Pearl' eds. Geffner, Dechter, Halperin, dl.acm.org/doi/book/10.1145/…
I am honored to have contributed Ch. 31, 'The Causal Foundations of Applied Probability and Statistics', dl.acm.org/doi/10.1145/35017…
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14 Dec 2021
I welcome PhD applications from students interested in working with me on topics at the intersection of Artificial Intelligence and Causal Inference. Application deadline: 15th Dec 2021. Link: gradschool.oregonstate.edu/p…
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5 Feb 2021
I am excited to announce that I will be joining the School of #EECS @OregonState as a tenure-track assistant professor in the Fall. Ever grateful to my mentors, friends & family for their advice, support & encouragement through the years!
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Karthika Mohan retweeted
30 Dec 2020
Good news for all victims of missing-data. We are informed that our paper "Graphical Models for Processing Missing Data" (with @Carthica) has pacified all reviewers' objections and will be published in JASA, see ucla.in/2LdEjZW
So, if you are confused, as most people 1/n
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21 Jul 2020
Here is a wonderful blog post about missingness graphs that allows one to answer quite a lot of questions about missingness. Great job, @CookieSci! @yudapearl
10 Jul 2020
Oh look, someone wrote a nice blog post about m-graphs! :) jakewestfall.org/blog/index.…
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Karthika Mohan retweeted
21 May 2020
Deadline extension for our #ICML workshop on missing values to June 8!
Keynotes by M. van der Schaar, R. Caruana @Carthica, @MSadinle, @madeleineudell
Panel discussants will include A. Gelman I. Shpitser
artemiss-workshop.github.io/
w/ @JulieJosseStat @jesfrellsen @GaelVaroquaux
8 Apr 2020
We’re organizing Artemiss @icmlconf : the first workshop on missing data in top ML conferences in recent years!
Artemiss-workshop.github.io
/w @jesfrellsen, @JulieJosseStat and @GaelVaroquaux
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1 Jan 2020
Happy New year! Posting a few intentions for the upcoming year. In particular, "Be who you needed when you were going through hard times".
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6 Dec 2019
I'm excited to be speaking tomorrow at University of Southern California's AI Rising Stars Symposium. Thank you for extending an invitation @BDilkina and @xiangrenNLP.
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2 Dec 2019
Thank you for your kind words @oacarah! Thanks @kaz_yos for bringing this to my attention. @CookieSci, I enjoyed reading your article and look forward to more. :)
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