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ML beyond Curve Fitting: An Intro to Causal Inference and do-Calculus (2018) (inference.vc)
20 points by melenaboija 4 months ago | past | 8 comments
Invariant Risk Minimization: An Information Theoretic View (inference.vc)
2 points by phreeza on Feb 13, 2020 | past
The secular Bayesian: Using belief distributions without believing (inference.vc)
6 points by LessButBetter on Nov 1, 2019 | past
Exponentially Growing Learning Rate? Scale Invariance Induced by Batch Norm (inference.vc)
1 point by bitforger on Oct 26, 2019 | past
Notes on the Limitations of the Empirical Fisher Approximation (inference.vc)
1 point by idl3Y on June 7, 2019 | past
Online Bayesian Deep Learning in Production at Tencent (inference.vc)
1 point by ghosthamlet on Jan 30, 2019 | past
Causal Inference 3: Counterfactuals (inference.vc)
1 point by ghosthamlet on Jan 30, 2019 | past
Deep Learning Is Easy – Learn Something Harder (2016) (inference.vc)
2 points by ghosthamlet on Jan 30, 2019 | past
ML Beyond Curve Fitting: An Intro to Causal Inference and Do-Calculus (inference.vc)
184 points by dil8 on May 25, 2018 | past | 41 comments
ML Beyond Curve Fitting: An Intro to Causal Inference and Do-Calculus (inference.vc)
2 points by stablemap on May 24, 2018 | past
The Generalization Mystery: Sharp vs. Flat Minima (inference.vc)
1 point by onuralp on Jan 19, 2018 | past
The Generalization Mystery: Sharp vs. Flat Minima (inference.vc)
2 points by stablemap on Jan 18, 2018 | past
Alchemy, Rigour and Engineering (inference.vc)
2 points by iaw on Dec 7, 2017 | past
A Cookbook for Machine Learning: Vol 1 (inference.vc)
193 points by forgotmysn on Nov 17, 2017 | past | 13 comments
Gaussian Distributions Are Soap Bubbles (inference.vc)
140 points by lebek on Nov 11, 2017 | past | 33 comments
Gaussian Distributions Are Soap Bubbles (inference.vc)
2 points by panic on Nov 10, 2017 | past
The Numerics of GANs (inference.vc)
2 points by xaedes on Oct 8, 2017 | past | 1 comment
GANs are broken in more than one way: the numerics of GANs (inference.vc)
3 points by mayava on Oct 6, 2017 | past
GANs Are Broken in More Than One Way: The Numerics of GANs (inference.vc)
3 points by kahnjw on Oct 5, 2017 | past | 3 comments
“Everything that works works because it's Bayesian” Why Deep Nets Generalize? (inference.vc)
40 points by fhuszar on May 25, 2017 | past | 5 comments
Technical Post on Forgetting in Neural Networks (inference.vc)
1 point by Agrodotus on March 17, 2017 | past
Solving Intelligence vs. Accelerating Towards AI Winter: Which Goal Is Better? (inference.vc)
2 points by fhuszar on Nov 24, 2016 | past | 1 comment
Representation Learning and the Information Bottleneck Approach (inference.vc)
1 point by jast on Nov 11, 2016 | past
InfoGAN: using the variational bound on mutual information (twice) (inference.vc)
2 points by amplifier_khan on Aug 4, 2016 | past
Deep Learning Is Easy – Learn Something Harder (inference.vc)
244 points by hunglee2 on Jan 31, 2016 | past | 59 comments
Deep Learning Is Easy – Learn Something Harder (inference.vc)
14 points by max_ on Jan 25, 2016 | past
Conversational AI: Is It the User Interface of the Future? (inference.vc)
1 point by fhuszar on June 22, 2015 | past | 1 comment
The Story of Dark Blue Labs, and Google (inference.vc)
2 points by rrtwo on Oct 23, 2014 | past

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