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Everything prepared for the Causal Machine Learning Workshop
@HSGStGallen. Looking forward to a great program (see http://tiny.cc/qhlwiz ) with Keynotes by@ShalitUri and Stefan Wager 12 Presentations 16 Posters#causalML with@MichaelLechner8@schluwie03@bigdata_dialogpic.twitter.com/eqfjvqJ3pW
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Hi
#CausalML folks,@amt_shrma and I are writing a book, tentatively titled "Causal Reasoning: Fundamentals and Machine Learning Applications". The first draft of Ch1 is up and we're looking for your feedback. Ch. 1 is a high-level intro to key topics:https://causalinference.gitlab.io/causal-reasoning-book-chapter1/ …Prikaži ovu nit -
#CausalML 0.6.0 has been released earlier this week with major improvements on tree-based uplift algorithms
: https://github.com/uber/causalml/blob/master/docs/changelog.rst#060-2019-12-31 … Special thanks to new community contributors, @ftzo, Peter Foley & Tomasz Zamacinski. Enjoy~!
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I am looking for
@uwcse PhD students, especially in but not limited to#causalinference,#causalML,#deeplearning,#datascience,#realworldproblems including#mentalhealth &#SocialGood. Learn more at http://bdata.io . If you're interested apply at https://www.cs.washington.edu/academics/phd/admissions …pic.twitter.com/Ah4LxMgfTR
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Research internship openings at Microsoft Research AI! Come work with us! I'm looking for PhD students w/experience in
#causalinference,#causalML, and excited by fundamental challenges inspired by real-world problems. https://careers.microsoft.com/us/en/job/738917/Research-Intern-Information-and-Data-Sciences … -
Thanks to all the participants for a intense but very productive
#causalML workshop. I hope you all had/have a save trip home and could digest the new inputs as well as the cheese fondue. pic.twitter.com/857PeEQ2Z0
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Due to the generous support of foundations & companies we will have additional
@uwcse PhD openings in#deeplearning for computer code and#wearables,#causalinference,#causalML,#datascience,#publichealth,#mentalhealth,#socialgood. More at http://bdata.ioPrikaži ovu nit -
#CausalML 0.4.0 has been released with support for (1) uplift tree visualization, (2) SHAP, permutation, gain feature importances for meta-learners, (3) bootstrap CIs for ATE (in addition to ITE). Enjoy! ;)@UberOpenSource https://github.com/uber/causalml -
#CausalML 0.3.0 is released. Updates include support for multiple treatments and classification for meta-learners, Qini curves and score functions, XGBRRegressor w/ early stopping and ranking optimization. Enjoy! ;) https://github.com/uber/causalml@UberOpenSource -
A great survey paper on causality that can be used as a handbook for people starting out! Builds concepts from both structural causal models and potential outcomes framework
@liuhuan@RuochengGuoASU https://arxiv.org/abs/1809.09337#CausalML pic.twitter.com/RcLplp30ZC
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因果推論の発展で、マーケティング施策のターゲットとして一番リフトの大きいユーザーセグメントを発見するためのもの
#causalml https://ohke.hateblo.jp/entry/2019/01/05/230000 … -
Thanks a lot,
@MC_Knaus,@schluwie03, and@MichaelLechner8, for organizing this great workshop on#causalmachinelearning (#causalML) with excellent talks about#causalinference with#machinelearning,#reinforcementlearning, and#networkstatistics.
https://twitter.com/MC_Knaus/status/1220007546565595143 …
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Time for the first keynote
@ShalitUri#ML and#causalinferemce#causalML#nrp75Prikaži ovu nit -
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Stay tuned for the call for submissions and updates to our workshop "Causal Learning for Decision Making" at
#ICLR2020 Jointly organised by@MILAMontreal,@DeepMindAI and@PerceivingSys#CausalML https://twitter.com/anirudhg9119/status/1215381163541520384 … -
Check out the latest release of the
#CausalML package with improvements on tree-based#uplift methods.#Uber#OpenSource#UberSciencehttps://github.com/uber/causalml/blob/master/docs/changelog.rst#060-2019-12-31 … -
My 2010s 2/3 -
#Work - got CS PhD to change career - started 3 startups: 1 closed after@ycombinator interview, 1 went public, 1 closed after $14M+ funding - joined 2 startups & 2 big tech companies - released 2 OSS:#Kaggler &#CausalMLPrikaži ovu nit -
Be uplifting. Like trees. Like UpliftTree.
#causalml https://github.com/uber/causalml/blob/6d02d6b586045d7033a44ebfbbf871290ef68fe8/causalml/inference/tree/models.py#L100 …#shamelessselfpromo -
Appropos Bengio's talk at
#neurips19, here's a great summary on applying causal reasoning for machine learning problems like generalization and adversarial robustness https://arxiv.org/abs/1911.10500 by@bschoelkopf#causalML -
Looking fwd to present our work on *Optim. targeting policies via seq. experimentation* (joint w/
@jeremyzyang@deaneckles@sinanaral) @#CausalML wkshp @#NeurIPS today! http://tripods.cis.cornell.edu/neurips19_causalml … [Highly complimentary agenda to that of *Safe & Robust Dec. making* wkshp yesterday]Prikaži ovu nit
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