aaronpmishkin

SLANG

Code for reproducing the results in "SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient".

gaussian_processes

Preference Learning with Gaussian Processes and Bayesian Optimization

experiment_utils

Utilities for running optimization and machine learning experiments.

normalizing_flows

Implementation of normalizing flows for bounded density estimation.

relu_optimal_sets_poster

Poster for ICML 2023 paper "Optimal Sets and Solution Paths of ReLU Networks".

beamer-template

Template for beamer-based presentations.

cs532w_probprog

Solutions for CS532W - Probabilistic Programming; UBC 2018W1

lab

Linear Algebra Backends: a lightweight interface for linear algebra engines.

msc_thesis

MSc. Thesis

hitandrun

Hit-and-run algorithm in python 3.6.

ihpcss_2022

lassonet

Feature selection in neural networks

macros

Macros for LaTex projects.

mml-talk

notes-template

Simple LaTex template for notes.

r_fista

Accelerated proximal-gradient solver.

scnn_poster

Poster for related paper presented at ICML 2022.

shapefile-js

Convert a Shapefile to GeoJSON. Not many caveats.

siam_op23_talk

talk-aim_seminar_scnn

talk-deep_iv

Talk on Instrumental Variables, DeepIV, and Forbidden Regression.

talk-gans

Talk on Generative Adversarial Networks (GANs).

talk-masters_presentation

talk-opt2022

Slides for short talk for OPT 2022.

talk-painless_sgd

Several different talks on Painless SGD.

talk-policy_gradients

Talk on Standard and Natural Policy Gradients for Discounted Rewards.

talk-why_deep_learning_works

Intro talk for "Why Does Deep Learning Work?" session of MLRG.

vc-prototype

Small prototype of D3 based value charts.

website

Personal website.