The morning paper

a random walk through Computer Science research, by Adrian Colyer
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Bookmarks (30)

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    Learning to prove theorems via interacting with proof assistants

    Learning to prove theorems via interacting with proof assistants Yang & Deng, ICML’19 Something a little...

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    Statistical foundations of virtual democracy

    Statiscal foundations of virtual democracy Kahng et al., ICML’19 This is another paper on the theme...

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    Robust learning from untrusted sources

    Robust learning from untrusted sources Konstantinov & Lampert, ICML’19 Welcome back to a new term of...

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    Meta-learning neural Bloom filters

    Meta-learning neural bloom filters Rae et al., ICML’19 Bloom filters are wonderful things, enabling us to...

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    Challenging common assumptions in the unsupervised learning of disentangled representations

    Challenging common assumptions in the unsupervised learning of disentangled representations Locatello et al., ICML’19 Today’s paper...

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    Data Shapley: equitable valuation of data for machine learning

    Data Shapley: equitable valuation of data for machine learning Ghorbani & Zou et al., ICML’19 It’s...

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    View-centric performance optimization for database-backed web applications

    View-centric performance optimization for database-backed web applications Yang et al., ICSE 2019 The problem set-up in...

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    Three key checklists and remedies for trustworthy analysis of online controlled experiments at scale

    Three key checklists and remedies for trustworthy analysis of online controlled experiments at scale Fabijan et...

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    Software engineering for machine learning: a case study

    Software engineering for machine learning: a case study Amershi et al., ICSE’19 Previously on The Morning...

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    Automating chaos experiments in production

    Automating chaos experiments in production Basiri et al., ICSE 2019 Are you ready to take your...

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    The convoy phenomenon

    The convoy phenomenon Blasgen et al., IBM Research Report 1977 (revised 1979) Today we’re jumping from...

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    Machine learning systems are stuck in a rut

    Machine learning systems are stuck in a rut Barham & Isard, HotOS’19 In this paper we...

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    Designing far memory data structures: think outside the box

    Designing far memory data structures: think outside the box Aguilera et al., HotOS’19 Last time out...

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    Fast key-value stores: an idea whose time has come and gone

    Fast key-value stores: an idea whose time has come and gone Adya et al., HotOS’19 No...

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    What bugs cause cloud production incidents?

    What bugs cause production cloud incidents? Liu et al., HotOS’19 Last time out we looked at...

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    Nines are not enough: meaningful metrics for clouds

    Nines are not enough: meaningful metrics for clouds Mogul & Wilkes, HotOS’19 It’s hard to define...