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The submission deadline for our causal learning for decision making workshop is Feb 10th. The submission portal is https://openreview.net/group?id=ICLR.cc/2020/Workshop/CLDM …. Our workshop website is https://sites.google.com/view/causal-learning-icrl2020/home …https://twitter.com/anirudhg9119/status/1215381163541520384 …
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We are organizing an ICLR workshop on causal learning for decision making. Understanding causality and its role in the decision making progress posses interesting challenges. https://sites.google.com/view/causal-learning-icrl2020/home …https://twitter.com/anirudhg9119/status/1215381163541520384 …
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A talk about our paper can be found at Yoshua's NeurIPS 2019 keynote lecture. The video and slides are available at https://slideslive.com/38921750/from-system-1-deep-learning-to-system-2-deep-learning …https://twitter.com/rosemary_ke/status/1211749225299632131 …
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We have released our code for "Neural causal learning from unknown interventions" here https://github.com/nke001/causal_learning_unknown_interventions …. The paper is here https://arxiv.org/pdf/1910.01075.pdf …. joint work with Olexa Bilaniuk,
@anirudhg9119,@hugo_larochelle,@chrisjpal, Yoshua BengioHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
rosemary ke proslijedio/la je Tweet
See, also the followup to this led by
@rosemary_ke : ) https://arxiv.org/abs/1910.01075Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The poster session is happening nowhttps://twitter.com/anirudhg9119/status/1205914221940215808 …
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rosemary ke proslijedio/la je Tweet
I strongly agree with this. Data distribution should be growing (adding more tasks more time) , composite (combination of two or more sub-tasks) as well as diverse (various different tasks).https://twitter.com/santoroAI/status/1205574118898327552 …
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rosemary ke proslijedio/la je Tweet
I will be presenting our poster on extracting signals in the frequency domain with Deep Complex Extractors in the Deep Inverse Problems workshop at
#Neurips2019 from 4:15pm to 6:00 pm. Don't hesitate to come by and ask questions.pic.twitter.com/4x6TwVLrSn
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rosemary ke proslijedio/la je Tweet
Yoshua Bengio talking about "why backprop is not biologically plausible"
@MILAMontreal@CIFAR_Newspic.twitter.com/zHPUjG7r2s
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rosemary ke proslijedio/la je Tweet
Coming to
#NeurIPS2019 and want to discuss generative models, overshoot, memory and RL? Come see our poster on Thursday! "Shaping Belief States with Generative EnvironmentModels for RL" East Exhibition Hall B + C #234pic.twitter.com/WkJOZ8QWAO
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rosemary ke proslijedio/la je Tweet
There’s a simple way to fight familiarity bias. When you read a good paper with an author you don’t know, especially if they’re junior, take a minute to look them up, get to know their work, cite them, and keep them in mind for events you organize. In short, remember the name!
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rosemary ke proslijedio/la je Tweet
Due to the mismatch in timezone deadlines on the website, authors will be able to submit responses and paper updates till 2pm PDT (15 Nov).
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Deadline extended to Nov 8th PDT for claiming a paper to reproduce! Still time to participate in the challenge! https://openreview.net/group?id=NeurIPS.cc/2019/Reproducibility_Challenge#unclaimed … https://reproducibility-challenge.github.io/neurips2019/
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rosemary ke proslijedio/la je Tweet
Here's a tip if you want to get more reads on your paper Do a short Youtube video about your paper. YT is a search engine with the google algorithm. You can make the algorithm work for you and get a lot of traffic I can record a more detailed explanation
@AcademicChatterHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Neurips reprpducibity challenge registration is due in a week!https://twitter.com/repro_challenge/status/1187811354561994752 …
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Attending the IAS workshop, will be presenting our work on neural causal learning from unknown interventions. https://arxiv.org/abs/1910.01075
https://twitter.com/prfsanjeevarora/status/1183795854483718146 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
rosemary ke proslijedio/la je Tweet
This is what I've been doing for quite some time. Recurrent Independent Mechanisms (RIMs) https://arxiv.org/abs/1909.10893 , joint work with Alex Lamb,
@shagunsodhani ,@jordanhoffmann,@svlevine,@bschoelkopf and Yoshua Bengio.@MILAMontreal Here's a short summary:Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Our recent papers on learning neural causal models from unknown interventions featured on Wired, (https://arxiv.org/abs/1910.01075 , https://arxiv.org/abs/1901.10912 )https://twitter.com/willknight/status/1181550901200330753 …
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Here, we look at the setting where interventions are unknown, and our goal is to discover causal graphs given unknown-intervention samples.
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Our new work on learning Neural Causal Models from unknown interventions! In the real world, interventions are also not always performed by an experimenter. They can be performed by other agents, or by environmental changes in unknown ways and hence are unknown to the model. https://twitter.com/anirudhg9119/status/1179821328339218433 …pic.twitter.com/MiMP3NeCiS
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