Yorgos Felekis @yfelekis
PhD student in Machine Learning and Causality @uniofwarwick | Member of Warwick Machine Learning Group | 🧪🖥️ | https://t.co/NDLyaDbOXb yfelekis.github.io London, England Joined March 2013-
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Will be at AISTATS this week, would love to chat if you have integrals to approximate or are generally into compstat / opt. transport / estimation in causal inference. Also we have two papers around importance sampling and variational inference. 1st: adaptive IS for heavy tails
Check out our latest work on Causal Abstractions for Multi-Armed Bandits led by @FMZennaro! Was very interesting to learn more about Causal MABs and combine them with Causal Abstraction theory in order to extend transfer learning settings for multi-scale decision making tasks!
Check out our latest work on Causal Abstractions for Multi-Armed Bandits led by @FMZennaro! Was very interesting to learn more about Causal MABs and combine them with Causal Abstraction theory in order to extend transfer learning settings for multi-scale decision making tasks!
Happy to announce the 2nd edition of the workshop on causal inference for time series data @UncertaintyInAI in June this year, co-organized by @oanaucs, @JonasChoice @runge_jakob, @huang_biwei, myself and others! The workshop includes a call for papers 👉🏻 sites.google.com/view/ci4ts2024…
Avi Wigderson was named the winner of the A.M. Turing Award for his foundational contributions to the theory of computation. trib.al/MvmRCPl
"Nobody else took what I was doing seriously, so nobody would want to work with me. I was thought to be a bit eccentric and maybe cranky" Peter Higgs, the physicist who discovered the theoretical mechanism explaining the origin of mass in the universe, has passed away today.
We had a very impressive solar eclipse here in the UK! Pretty much lasted the whole afternoon.
🗞️Our recent work with Nikos Spyrou, @nefeligk_, @SnchzPedro_, @vlontzos, @GiorgosPapanas and @STsaftaris introduces a comprehensive benchmark framework for the task of Counterfactual Image Generation. pre-print: arxiv.org/abs/2403.20287 code: github.com/gulnazaki/coun…
I am looking to hire a Research Fellow to join my group in the AI/ML/Statistics sub-areas of simulation, robustness and causality. Job ad here: warwick-careers.tal.net/vx/lang-en-GB/…
A very insightful talk by @bschoelkopf on Causal Representations today at @Conf_CLeaR! Our method COTA (arxiv.org/abs/2312.08107) learns such representations in multi-resolution settings while maintaining interventional consistency amongst them!
Free for all michel.talagrand.net/ULBSPRINGER.pdf michel.talagrand.net x.com/Almost_Sure/st…
Free for all michel.talagrand.net/ULBSPRINGER.pdf michel.talagrand.net x.com/Almost_Sure/st… https://t.co/CXGXXY6ylY
Reviewer 2
Excited to share our new applied causal machine learning book causalml-book.org is available online. Any feedback/corrections greatly appreciated!
Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.
There's a phase of research I call Not Even Stuck (by analogy with physicists' Not Even Wrong), where things don't work but you don't understand the problem well enough to know what the blockers are. If you can get from there to Stuck, you've made a lot of progress.
Good luck evaluating on Greek moms and get an output like "No. You need to eat more !" without even looking at the data.
Good luck evaluating on Greek moms and get an output like "No. You need to eat more !" without even looking at the data.
In need of a fast, cheap, & interpretable surrogate for your agent-based model that is *consistent under policy interventions of interest*? Check out our new paper on using causal abstraction learning to create interventionally consistent surrogates for #ABMs:
In need of a fast, cheap, & interpretable surrogate for your agent-based model that is *consistent under policy interventions of interest*? Check out our new paper on using causal abstraction learning to create interventionally consistent surrogates for #ABMs:
Darth Goblin @0xc0dejug
556 Followers 448 Following building @union_build and https://t.co/hH3b4hfNsp. dictated by code. financial coadvices. trapped in the simulation.
Jesper - jtk.eth @cryptojesperk
10K Followers 1K Following CEO, intern & Co-Founder @psifi_app • prev Panoptic • PhD @Cornell AEP • ex-Quant • ✍ https://t.co/VKHbnmgphq (top 3 @amazon) • @RareSkills_io • $COIN🛡️🇩🇰 #nfa
Tycho van der Ouderaa @tychovdo
1K Followers 2K Following Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Sam Power @sp_monte_carlo
17K Followers 7K Following Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him)
Cryptoni0x @Cryptoni0x
231 Followers 822 Following Cypherpunk As reliable as MD5... Oh, you like crypto? Name every output of a sponge function.
Sara Magliacane (she/.. @saramagliacane
3K Followers 1K Following Assistant professor @AmlabUva @UvA_Amsterdam, previously @MITIBMLab , #causality #CausalRepresentationLearning #causalityInspiredML, 🇮🇹🇸🇮 in 🇳🇱
Salina Matarazzo @MatarazzoS43629
92 Followers 5K Following
Zhaoyang Wang @wangwan83764204
396 Followers 5K Following CS PhD student at Uni of Birmingham in the United Kingdom. Research interests: Automated Machine Learning (BayesianOp), and Reinforcement Learning🏳️🌈
Piersilvio De Bartolo.. @pdebartols
267 Followers 994 Following PhD student @ETH in Computer Science.
Karla DO @karlado
1K Followers 802 Following Biostatistician working in causal inference and machine learning #academicswithcats.
Rickard Karlsson @RdKarlsson
295 Followers 228 Following PhD student working on causal inference & ML @tudelft
Dennis Frauen @ICLR20.. @dennisfrauen
133 Followers 242 Following PhD student @ LMU Munich. Interested in causal inference & machine learning
Aneesh Komanduri @akomandML
43 Followers 304 Following cs phd student @UArkansas working on causality, generative modeling, representation learning, trustworthy AI
Andreas Kontogiannis @a_kontogiannis
5 Followers 38 Following PhD candidate @ntua | Doctoral fellow @ArchimedesUnit | ex: @Amazon | Interests: multi-agent RL, learning in games, optimization and complexity
Oscar Clivio @oscar_clivio
146 Followers 134 Following PhD student @OxfordStats @StatMLIO. Causal inference and machine learning.
Daan Roos @daan_roos_
66 Followers 75 Following PhD candidate in causality & machine learning @AmlabUva @UvA_Amsterdam
Giorgos Papanastasiou @GiorgosPapanas
16 Followers 84 Following #ResearchScientist, #ComputerScientist and #Physicist with interest in #LifeSciences and #NaturalSciences, #PI and #GroupLeader, Pfizer & Archimedes, Athena RC.
Athanasios (Thanos) V.. @vlontzos
503 Followers 377 Following Research Scientist @SpotifyResearch - Causality in ML | PhD from @BioMedIAICL | prev. @apple, @nasa_fdl, @zeitmedical, @GEHealthcare
Thomas Melistas @ThomasMelistas
45 Followers 149 Following Phd Candidate - Researcher at Archimedes Research Unit supervised by Sotirios Tsaftaris (UoE), Yannis Panagakis (NKUA), Giorgos Papanastasiou (Pfizer)
Ioannis Kakogeorgiou @IoannisKakogeo1
134 Followers 327 Following I am a Ph.D. candidate at the RS-Lab at the National Technical University of Athens. My research focuses on self-supervised learning and explainable AI.
Alicia Curth @AliciaCurth
3K Followers 496 Following PhD student Machine Learning in Cambridge, Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things 👀
Stefan Feuerriegel @stfeuerriegel
759 Followers 800 Following Professor at LMU Munich | Institute of AI in Management ++ We develop artificial intelligence for impact ++
Martin R. @martin_rohbeck
424 Followers 857 Following PhD Student Causality & ML @StatGenomics w/ @OliverStegle @BrittaVelten - combining 💻 & 🧬 | Previously @quantcotech | Runner Big & Little Brother
Alexei Karamazov @CousinKaramazov
118 Followers 2K Following
Laedron @laedron
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Nicolás Hinrichs @nico_hinrichs
429 Followers 927 Following Latinx Researcher | PhD | Hyperscanning Psychotherapy | @UniLeipzig @FrameNetBrasil @udeconcepcion | NeuroCog x PhilSci | DeSci x SciCom l @ASAPbio_ @neuromatch
Adam Tsakalidis @adtsakal
333 Followers 301 Following Research Fellow at @QMEECS / @QMCogSci / @turinginst
Mel Andrews @bayesianboy
26K Followers 9K Following PhD philosophy of science, AI ethics, mathematical modelling, machine learning, applied maths, science reform. Views expressed here are personal.
Vasiliki Vasileiou @SilaVasileiou
7 Followers 43 Following PhD Student at @NTUA| PhD fellow @athenaRICInfo @ArchimedesUnit | Previously: MSc AI @UvA_Amsterdam & Meng ECE @NTUA
Tyler Farghly @tylerfarghly
213 Followers 220 Following PhD student in theoretical ML at @OxCSML @OxfordStats by day. Musician by night. Rarely sleep
Eli Weinstein @EliWeinstein6
582 Followers 680 Following Postdoc at Columbia in @blei_lab // @jura_bio // statistics, biophysics, machine learning
Xing Liu @XingLiu97
135 Followers 164 Following PhD student of statistical ML @StatMLIO @imperialcollege | Supervised by Prof. @axel_gandy and Dr. Andrew Duncan | Enrichment Student at @turinginst | 刘行
Anna Menacher @MenacherAnna
230 Followers 537 Following DPhil student at the University of Oxford at the CDT for Modern Statistics and Statistical Machine Learning.
Siu Lun Chau @Chau9991
343 Followers 483 Following Postdoctoral Researcher at the Rational Intelligence Lab @CISPA; Previously at @oxcsml, @AmazonUK, @MPI_IS.
Efthymios Tzinis @ETzinis
496 Followers 334 Following Research Scientist @GoogleAI | Ph.D. from @IllinoisCS | Formerly @merl_news, @RealityLabs | My opinions do not represent my employer
Md Musfiqur Rahman @musfiq_shohan
158 Followers 314 Following Ph.D. Student and Research Assistant at @PurdueECE. Interested in Causality and Machine Learning. From 🇧🇩.
Tian-Zuo Wang @TianZuoWang1
27 Followers 160 Following Causal inference. Assistant researcher in School of Artificial Intelligence at Nanjing University.
Ziwei Jiang @ziwei_jiang_
34 Followers 46 Following Ph.D. Student at CausalML Lab, Purdue University.
William Orchard @williamrorchard
221 Followers 590 Following PhD student | Causality, ML, comp bio @Cambridge_Uni | Applied Science Intern @AmazonScience | Visiting researcher @HelmholtzMunich | opinions my own
Kiana Dominguez @KianaDomin55852
150 Followers 3K Following
Arnau @arnauquera
215 Followers 1K Following Astrophysicist (he) now busy with agent-based modeling.
Nick Bishop @NickBishop5
93 Followers 344 Following PhD student at the University of Southampton researching incentives in distributed Machine Learning scenarios. I retweet research, esports and memes.
Delores @boston_delores2
149 Followers 3K Following
Mauro Camara Escudero @MauroCamaraE
307 Followers 2K Following Statistical Machine Learning, Dancing, Basketball & Cooking 🎈
Joel Dyer @JoelNMDyer
296 Followers 1K Following AI for agent-based models @CompSciOxford & Senior Fellow @INET_Complexity @INETOxford. Formerly @Improbableio @OxUniMaths @turinginst @JGIBristol
Pierre Alquier @PierreAlquier
8K Followers 5K Following Professor of Statistics @ESSEC_AP 🇸🇬 // Previously @RIKEN_AIP 🇯🇵 @ENSAEparis 🇫🇷 @ucddublin 🇮🇪 🇪🇺 // random posts about research & birds photos // 🌈
xDvdBkf @DvdBrkf
135 Followers 799 Following
Solomon Gamble @GambleSolo76725
152 Followers 3K Following
Frances @frances_shell_
235 Followers 3K Following
Composable Foundation @ComposableFin
48K Followers 56 Following Composing DeFi for mass adoption. Any money, any chain, anywhere. 🎨 Explore our L1 Blockchain ➡️ @Picasso_network 🤖 https://t.co/eilU0TZrOl
Jesper - jtk.eth @cryptojesperk
10K Followers 1K Following CEO, intern & Co-Founder @psifi_app • prev Panoptic • PhD @Cornell AEP • ex-Quant • ✍ https://t.co/VKHbnmgphq (top 3 @amazon) • @RareSkills_io • $COIN🛡️🇩🇰 #nfa
Web3 Philosopher @seunlanlege
6K Followers 62 Following Mad scientist @PolytopeLabs, prev core dev @ethereum, @polkadot.
Tycho van der Ouderaa @tychovdo
1K Followers 2K Following Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Tarun Chitra @tarunchitra
60K Followers 5K Following ヽ(⌐■_■)ノ♪♬ @gauntlet_xyz/@robotventures/@aerafinance/@thelatestindefi/@_choppingblock/@zeroknowledgefm // main: @guilleangeris
Felix Hill @FelixHill84
9K Followers 777 Following Research Scientist, Deepmind I try to think hard about everything I tweet, esp on 90s football and 80s music None of my opinions are really someone else's
Arthur Gretton @ArthurGretton
9K Followers 730 Following Professor in Machine Learning, Gatsby Computational Neuroscience Unit Research Scientist, Google DeepMind @[email protected]
antonio vergari @ #IC.. @tetraduzione
4K Followers 2K Following human being | associate prof in #ML #AI @ancAtEd | PI of #APRIL https://t.co/7uTqRZtmEd | #probabilistic #models #tractable #generative #neuro #symbolic |
Sebastian Raschka @rasbt
268K Followers 885 Following Machine learning & AI researcher writing at https://t.co/A0tXWzG1p5. LLM research engineer @LightningAI. Previously stats professor at UW-Madison.
Sam Power @sp_monte_carlo
17K Followers 7K Following Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him)
Dimitris Papailiopoul.. @DimitrisPapail
12K Followers 981 Following prof @ wisconsin; thinking about transformers; learning in context; babas of Inez Lily
Clémentine Dominé �.. @ClementineDomi6
2K Followers 2K Following PhD student @GatsbyUCL| Masters Theoretical Physics @OfficialUoM| @UCLA | Previously @SapienzaRoma | @CERN | @EPFL | Music Art Creator @Artlovessciences
Andreas Kirsch 🇮�.. @BlackHC
9K Followers 5K Following Past: 🧑🎓 DPhil @AIMS_oxford @ExeterCollegeOx @UniofOxford (4.5yr) 🧙♂️ RE @DeepMind (1yr) 📺 SWE @Google (3yrs) 🎓 @TU_Muenchen 👤 Fellow @nwspk
Gautam Kamath @thegautamkamath
44K Followers 509 Following Assistant Prof of CS @UWaterloo, Faculty @VectorInst, Canada @CIFAR_News AI Chair. Co-EiC @TmlrOrg. I lead @TheSalonML. Privacy, robustness, machine learning.
Petar Veličković @PetarV_93
30K Followers 555 Following Staff Research Scientist @GoogleDeepMind | Affiliated Lecturer @Cambridge_Uni | Associate @clarehall_cam | GDL Scholar @ELLISforEurope. Monoids. 🇷🇸🇲🇪🇧🇦
Zachary Lipton @zacharylipton
59K Followers 2K Following Professor: CMU/@acmi_lab, CTO / CSO: @AbridgeHQ, Creator: @d2l_ai & https://t.co/QQt98VNLUp, Relapsing 🎷
Edward Grefenstette �.. @egrefen
36K Followers 780 Following FR/US/GB AI/ML Person, Director of Research at @GoogleDeepMind, Honorary Professor at @UCL_DARK, @ELLISforEurope Fellow. All posts are personal.
Andreas Kontogiannis @a_kontogiannis
5 Followers 38 Following PhD candidate @ntua | Doctoral fellow @ArchimedesUnit | ex: @Amazon | Interests: multi-agent RL, learning in games, optimization and complexity
Karla DO @karlado
1K Followers 802 Following Biostatistician working in causal inference and machine learning #academicswithcats.
Danru Xu @Danrunnnn
64 Followers 66 Following PhD student in multimodal causal representation learning @INDE_LAB_AMS @UvA_Amsterdam
Daan Roos @daan_roos_
66 Followers 75 Following PhD candidate in causality & machine learning @AmlabUva @UvA_Amsterdam
Aneesh Komanduri @akomandML
43 Followers 304 Following cs phd student @UArkansas working on causality, generative modeling, representation learning, trustworthy AI
Dennis Frauen @ICLR20.. @dennisfrauen
133 Followers 242 Following PhD student @ LMU Munich. Interested in causal inference & machine learning
Pim de Haan @pimdehaan
1K Followers 221 Following Machine learning researcher at University of Amsterdam and Qualcomm AI Research
Oscar Clivio @oscar_clivio
146 Followers 134 Following PhD student @OxfordStats @StatMLIO. Causal inference and machine learning.
Rickard Karlsson @RdKarlsson
295 Followers 228 Following PhD student working on causal inference & ML @tudelft
Pedro P. Sanchez @SnchzPedro_
1K Followers 633 Following PhD student at @EdinburghUni. Previously @ MSR, Canon Medical, GE Healthcare.
Giorgos Papanastasiou @GiorgosPapanas
16 Followers 84 Following #ResearchScientist, #ComputerScientist and #Physicist with interest in #LifeSciences and #NaturalSciences, #PI and #GroupLeader, Pfizer & Archimedes, Athena RC.
Thomas Melistas @ThomasMelistas
45 Followers 149 Following Phd Candidate - Researcher at Archimedes Research Unit supervised by Sotirios Tsaftaris (UoE), Yannis Panagakis (NKUA), Giorgos Papanastasiou (Pfizer)
Philip Versteeg @philipversteeg
111 Followers 427 Following PhD candidate in machine learning and causality at the University of Amsterdam
Mingming Gong @MingmingGong1
115 Followers 143 Following Senior lecturer in data science, University of Melbourne. & Associate professor in machine learning, MBZUAI.
Biwei Huang @huang_biwei
933 Followers 152 Following Assistant Professor at @HDSIUCSD @UCSanDiego (research on Causal Discovery and Inference, Causality-related Machine Learning, and Computational Science)
Aditya Grover @adityagrover_
8K Followers 412 Following CS Prof @UCLA. AI, ML, Climate. Prev: Postdoc @berkeley_ai, PhD @StanfordAILab, bachelors @IITDelhi.
BIRS @BIRS_Math
5K Followers 245 Following The Banff International Research Station for Mathematical Innovation and Discovery, in the heart of the Canadian Rocky Mountains.
Thomas Mann House @ThomasMannHouse
4K Followers 2K Following Residency center and space for transatlantic debate
Claire Vernade @vernadec
4K Followers 943 Following I tweet on Machine Learning, mostly Bandits, RL and Learning Theory. Group Leader in Tübingen @ml4science. ex-Deepmind. Activist in tech.
Efstratios Gavves @egavves
2K Followers 564 Following Associate Professor & Co-Founder - Temporal Learning & Neural Dynamics
Dominik Janzing @DominikJanzing
23 Followers 3 Following actually prefer talking in person to talking via tweets... note that my tweets reflect my private opinion.
Anthony Matthews @_tony_matthews
1K Followers 1K Following Assistant Professor in Epidemiology and Causal Inference @CAUSALab @karolinskainst | long-term SAFC sufferer | 🇬🇧 in 🇸🇪
Dan Franks @DanFranksRsrch
2K Followers 2K Following CEO of Causa & Prof at @UniOfYork. Causal inference, Bayesian networks, Data science, Bayesian, ecology, machine learning. Views own
Eric J. Daza, DrPH �.. @ericjdaza
2K Followers 4K Following n-of-1 scd causality @statsof1 | biostats data sci @evidation | Forbes+Fortune+ASA | DEI @datascijedi | FilAm 🎶🎹🎸🎙🧗🏾 | @Stanford @UNCBiostat @Cornell
Ignavier Ng @ignavierng
213 Followers 172 Following PhD student at CMU. Interested in causality and machine learning.
Adam Tsakalidis @adtsakal
333 Followers 301 Following Research Fellow at @QMEECS / @QMCogSci / @turinginst
Antonio Canale @tonycanale_
758 Followers 413 Following Statistician and data scientist - Associate professor @UniPadova - Organizer @databeersPD
Michael Li @lzy_michael
209 Followers 317 Following Research Fellow at @GatsbyUCL. previously PhD student in machine learning and statistics @OxCSML and @OxfordStats
Pedro L. C. Rodrigues @plc_rodrigues
377 Followers 1K Following Researcher at the Statify team from Inria Grenoble (@InriaStatify). Previously post-doc at Inria Saclay and PhD at GIPSA-lab. He/him/his
Jin Xu @jinxu06
433 Followers 575 Following PhD student in statistical machine learning at @OxCSML @OxfordStats. Realistic idealist, striving fatalist.
Bobby @bobby_he
523 Followers 225 Following Machine Learning postdoc @ETH. PhD from @UniofOxford and former research intern @DeepMind/@samsungresearch
Adam Foster @AdamEFoster
556 Followers 190 Following Senior Researcher at Microsoft Research AI4Science. Previously Oxford PhD in machine learning
Alejandra Avalos @AleAviP
2K Followers 1K Following 🇲🇽|Univ.Ass. @tu_wien🇦🇹|Member @HarvardMIT_CRS🇺🇸|Chair @j_ISBA📈|Ex @dfcidatascience🇺🇸@DataScienceFLR🇮🇹|Alumna @warwickstats @OxfordStats 🇬🇧
Dimitri Meunier @DimitriMeunier1
385 Followers 328 Following 3rd year ML PhD @GatsbyUCL @ELLISforEurope | Previously CSML team @IITalk
Umberto Picchini @uPicchini
1K Followers 411 Following Associate Professor in Mathematical Statistics @StatsChalmersGU | simulation-based inference | Bayes | stochastic dynamical systems | @uPicchini.bsky.social
Jessamyn Dukes @rhymeswspecimen
4K Followers 574 Following eternal math undergrad: UCC '20, Rutgers '23. can leap small ottomans in a single bound. queer, trans, gender is performative. not Jessamyn "the gun" Duke.
Evan Washington @evanewashington
8K Followers 3K Following phd student in philosophy @ucberkeley丨RVA丨logic, category theory, epistemology, and philosophy of (mathematics, language, science)丨he/him
Mel Andrews @bayesianboy
26K Followers 9K Following PhD philosophy of science, AI ethics, mathematical modelling, machine learning, applied maths, science reform. Views expressed here are personal.
DLR Data Science @DLRdatascience
672 Followers 507 Following DLR Institute of Data Science | Jena News & projects from our research covering the entire data lifecycle https://t.co/k6cjoOV90a @DLR_de #datascience
cora @KylerCora
8K Followers 2K Following built @soon_dating . living in cantor's paradise . former PhD student @ucberkeley .
Adam Coates @adampaulcoates
32K Followers 293 Following Has AI made the world better yet? Let's get on that. Director at Apple. Fmr Stanford PhD, Director Baidu SVAIL, @khoslaventures. #deeplearning #HPC #AI
Marc Mezard @marc_mezard
3K Followers 936 Following @[email protected] Physicist, Professor @Unibocconi Former director of Ecole normale supérieure -PSL university Retweets not endorsements.
Eigil is in Copenhage.. @Ayegill
1K Followers 556 Following @ayegill.bsky.social (bluesky) @ayegill.schelling.pt (mastodon) Applied algebraic abstractologist. Trying to get the heavens into my head
NeuroData Lab @neuro_data
8K Followers 617 Following We are devoted to discovering deep foundations linking all intelligences, in service to our collective flourishing (they/them). Joshua (jovo) Vogelstein.
Aatish Bhatia @aatishb
18K Followers 3K Following I'm not active on twitter. Find me at: NYT: https://t.co/PTmI9u3g3k Bluesky: @aatishb.bsky.social Mastodon: @[email protected]
#AISTATS24 me and @Branchini_Nic will be presenting Variational Resampling today at the poster session. Swing by if you are interested in particle filters and/or want to see a fun applications of VI to the SMC methodology. proceedings.mlr.press/v238/kviman24a…
Tomorrow @aistats_conf in room 2! Come and let’s chat about the difference between VI and adaptive IS, divergence minimization, heavy tails, recyclying samples…
Will be at AISTATS this week, would love to chat if you have integrals to approximate or are generally into compstat / opt. transport / estimation in causal inference. Also we have two papers around importance sampling and variational inference. 1st: adaptive IS for heavy tails
Coming to your favorite platform this Monday! Our conversation with @AleksanderMolak about science , causality and AI
Science is not linear and was Geoffrey Hinton wrong? My conversation with Thanos Vlontzos (@Spotify) premieres this Monday. 1/n @vlontzos #CausalBanditsPodcast #causalinference #causalAI #machinelearning #causaltwitter #epitwitter #econtwitter
This week at CARE we continue learning about abstraction with the incredible Sander Beckers. Join us! (hosted by @chandlersquires and @dhanya_sridhar ) portal.valencelabs.com/events/post/ca…
🎇My PhD thesis got approved recently! 🎇 The title is: "Scalable Bayesian Inference in the Era of Deep Learning: From Gaussian Processes to Deep Neural Networks" It is available on arXiv: arxiv.org/abs/2404.19157
One of the best things in academia is finding, working with and nurturing brilliant UGs in research. I watch them grow, I learn from them, and can’t stop thinking “What amazing research these young minds will do in their PhD if they are at this level, 3/4 in their UG degree?” Wow
Great to have been a part of this project with @FMZennaro @NickBishop5 @yfelekis #AniCalinescu @wooldridgemike @TDamoulas! (7/7)
and warm-starting in M’ by translating the expected reward estimated by experiments in M to (approximately) equivalent actions in M’. Our approaches are seen to improve over e.g. directly running UCB in M’, demonstrating the benefits of exploiting the abstraction. (6/7)
Given access to an abstraction, we explore 3 ways to transfer knowledge from base to abstracted model, M to M’: directly transferring the estimated best action from M; an off-policy-like scheme where the policy in M’ is trained on equivalent interventions to those run in M; (5/7)
In our paper, we introduce causally abstracted MABs (CAMABs). This is the case where CMABs M & M’ are related through a(n approximate) causal abstraction, such that intervening in M is (approximately) equivalent to running an (approximately) equivalent intervention in M’ (4/7)
Causal MABs describe the MAB setting in which the relationship between different actions & Y is mediated by a structural causal model (such as, for example, an agent-based model; see arxiv.org/abs/2312.11158) and each action corresponds to an intervention on the SCM (3/7)
In multi-armed bandits (MABs), a learning agent is tasked with finding an action A that maximises (roughly speaking) the expectation of a reward variable Y, where the distribution of Y for each action is unknown (2/7)
Our paper, brilliantly led by @FMZennaro & accepted as an Oral at #uai2024 @UncertaintyInAI, considers how to transfer knowledge between causal multi-armed bandits that are defined on different variables/levels of granularity, but related through a *causal abstraction* 🧵 (1/7)
New paper introducing causally abstracted multi-armed bandits (CAMABs) - multiple causal bandits related by causal abstraction maps: arxiv.org/abs/2404.17493
Will be at AISTATS this week, would love to chat if you have integrals to approximate or are generally into compstat / opt. transport / estimation in causal inference. Also we have two papers around importance sampling and variational inference. 1st: adaptive IS for heavy tails
New paper introducing causally abstracted multi-armed bandits (CAMABs) - multiple causal bandits related by causal abstraction maps: arxiv.org/abs/2404.17493
We study how to define them and explore how to exploit abstraction maps to transport data and solve CAMABs. Work with @NickBishop5 @JoelNMDyer @yfelekis Ani Calinescu @wooldridgemike @TDamoulas
How good is my counterfactual image? Benchmarking Counterfactual Image Generation with Python 1/n #causalinference #causality #cv #python #causaltwitter
Excited to share that our paper “Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms” has been accepted to #IJCAI2024! We propose a new notion of causal disentanglement from the perspective of independent causal mechanisms. @IJCAIconf
Less than 3 weeks left for arguably one of the hardest presentations I have to prepare for. Don't miss the chance to see me sweat. Joking aside, it will be a celebration of science, industry collaboration and a bit of history of computer vision, ancient greeks & my research path.
How can #AI machines learn to see and understand visual information like the human brain? In his inaugural #lecture Prof @STsaftaris will explore #RepresentationalLearning and its applications, from restoring art to enhancing medical imaging diagnosis. edin.ac/3xuSt5G
Happy to announce the 2nd edition of the workshop on causal inference for time series data @UncertaintyInAI in June this year, co-organized by @oanaucs, @JonasChoice @runge_jakob, @huang_biwei, myself and others! The workshop includes a call for papers 👉🏻 sites.google.com/view/ci4ts2024…
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