Top Tweets for #WHI2016

Vladimir Chupakhin @chupvl

about 10 years ago

Interpretable machine learning featured in @NautilusMag: https://t.co/8DO4xJT3Od #WHI2016 @urrational @IBMResearch https://t.co/RJtq3Nj3Tu

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about 10 years ago

Proceeding from #ICML2016, #WHI2016 workshop on #machinelearning interpretability https://t.co/Ugc9hXHeGw Interesting read, yet too small.

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Manasi Vartak @DataCereal

over 10 years ago

My favorite workshop at #icml2016 #WHI2016! Great speakers and papers @_beenkim

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Victoria Krakovna

@vkrakovna

over 10 years ago

Susan Athey: economists know the direction of causality - we want to change the world and we will! #WHI2016 #icml2016

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over 10 years ago

Panel discussion moderated by Rich Caruana @icmlconf #WHI2016.

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over 10 years ago

Panel discussion starts! When experts tell us what they really think....;) #WHI2016

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Victoria Krakovna

@vkrakovna

over 10 years ago

Informative concluding panel on model interpretability at #icml2016 #WHI2016

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over 10 years ago

Percy Liang on Provenance and Contracts in Machine Learning at #WHI2016 #icml2016 Why prediction and what to expect!

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over 10 years ago

Percy Liang on provenance and contracts in machine learning @icmlconf #WHI2016.

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over 10 years ago

!! @hannawallach taking over the stage with her awesomeness at #WHI2016 #icml2016!!

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over 10 years ago

.@hannawallach on interpretable models for measurement in social science @icmlconf #WHI2016.

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over 10 years ago

.@Susan_Athey presenting counterfactual inference @icmlconf #WHI2016.

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over 10 years ago

Jacob Feldman introducing the @icmlconf community to human concept learning. #WHI2016

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over 10 years ago

Tom Zahavy interpreting reinforcement learning @icmlconf #WHI2016.

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over 10 years ago

Seth talks about EU regulation at #WHI2016 #icml2016 - algorithms will have to provide explanations by law soon!

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