Academic Job Interview
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Posts by Tags
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Optimization
Differential Theory
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This post summarizes differential theory on convex functions, including directional derivatives, subgradients, and Legendre transformation.
Duality
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This post summarizes duality.
Convex Sets and Convex Functions
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This post summarizes convex sets and convex functions, and their properties.
Python
Python Handbook
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Conda
Parallelism in Python
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This post summarizes some useful resourses for parallelism in Python.
Statistics
Norm Inequality
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This post summarizes some useful inequalities between different norms.
Divergence Measures
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This post summarizes useful results on divergence measurere.
Reproducing Kernel Hilbert Spaces
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This post summarizes reproducing kernel Hilbert spaces and mainly follows the lecture slides by D. Sejdinovic, A. Gretton.
Nonparametric Regression
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This post summarizes nonparametric regression.
Causal Inference
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This post summarizes causal inference.
Multiple Testing
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This post summarizes multiple testing.
Hypothesis Testing
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This post summarizes hypothesis testing, confidence interval, bootstrap, and Bayesian inference.
Asymptotics of MLE
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This post summarizes asymptotic properties of MLEs.
Uniform Laws
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This post summarizes empirical process theory and statistical functional estimations.
Point Estimation
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This post summarizes point estimation methods and some inportant quantities.
Statistical Model And Statistics
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This post summarizes statistical models, statistics and its properties.
Finite-Sample Concentration Bounds
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This post summarizes some useful finite-sample concentration bounds.