inFERENCe
posts on machine learning, statistics, opinions on things I'm reading in the space
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Exponentially Growing Learning Rate? Implications of Scale Invariance induced by Batch Normalization
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October 25, 2019
On Marginal Likelihood and Cross-Validation
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October 17, 2019
Notes on iMAML: Meta-Learning with Implicit Gradients
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September 19, 2019
Invariant Risk Minimization: An Information Theoretic View
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July 19, 2019
ICML Highlight: Contrastive Divergence for Combining Variational Inference and MCMC
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June 12, 2019
Notes on the Limitations of the Empirical Fisher Approximation
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June 6, 2019
Perceptual Straightening of Natural Videos
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May 30, 2019
Causal Inference 3: Counterfactuals
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January 24, 2019
Causal Inference 2: Illustrating Interventions via a Toy Example
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January 18, 2019
Online Bayesian Deep Learning in Production at Tencent
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November 15, 2018
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