Posts

• 02 Feb 2020 » Law of total expectation and Law of total variance
• 27 Jan 2020 » Maxent as KL minimisation with improper priors
• 16 Oct 2019 » A Taylor-Derived Series
• 25 Mar 2019 » Forward vs Reverse KL Divergences
• 03 Jan 2019 » Notes on: Dropout as a Bayesian Approximation
• 06 Dec 2018 » Notes on: Weight Uncertainty in Neural Networks
• 06 Dec 2018 » Notes on: A Unified View of Piecewise Linear Neural Network Verification
• 02 Dec 2018 » Notes on: Smooth Loss Functions for Deep Top-k Classification
• 01 Dec 2018 » Notes on: Deep Frank-Wolfe For Neural Network Optimization