aaronpmishkin
PhD student at Stanford University. My interests are in optimization for machine learning.
Vancouver
Pinned Repositories
experiment_utils
Utilities for running optimization and machine learning experiments.
gaussian_processes
Preference Learning with Gaussian Processes and Bayesian Optimization
lab
Linear Algebra Backends: a lightweight interface for linear algebra engines.
msc_thesis
MSc. Thesis
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".
SLANG
Code for reproducing the results in "SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient".
ds3_abi_exercises
Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
sls
Implements stochastic line search
scnn
Scalable Convex Neural Networks
aaronpmishkin's Repositories
aaronpmishkin/SLANG
Code for reproducing the results in "SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient".
aaronpmishkin/gaussian_processes
Preference Learning with Gaussian Processes and Bayesian Optimization
aaronpmishkin/experiment_utils
Utilities for running optimization and machine learning experiments.
aaronpmishkin/normalizing_flows
Implementation of normalizing flows for bounded density estimation.
aaronpmishkin/relu_optimal_sets_poster
Poster for ICML 2023 paper "Optimal Sets and Solution Paths of ReLU Networks".
aaronpmishkin/beamer-template
Template for beamer-based presentations.
aaronpmishkin/cs532w_probprog
Solutions for CS532W - Probabilistic Programming; UBC 2018W1
aaronpmishkin/lab
Linear Algebra Backends: a lightweight interface for linear algebra engines.
aaronpmishkin/msc_thesis
MSc. Thesis
aaronpmishkin/hitandrun
Hit-and-run algorithm in python 3.6.
aaronpmishkin/ihpcss_2022
aaronpmishkin/lassonet
Feature selection in neural networks
aaronpmishkin/macros
Macros for LaTex projects.
aaronpmishkin/mml-talk
aaronpmishkin/notes-template
Simple LaTex template for notes.
aaronpmishkin/r_fista
Accelerated proximal-gradient solver.
aaronpmishkin/scnn_poster
Poster for related paper presented at ICML 2022.
aaronpmishkin/shapefile-js
Convert a Shapefile to GeoJSON. Not many caveats.
aaronpmishkin/siam_op23_talk
aaronpmishkin/talk-aim_seminar_scnn
aaronpmishkin/talk-deep_iv
Talk on Instrumental Variables, DeepIV, and Forbidden Regression.
aaronpmishkin/talk-gans
Talk on Generative Adversarial Networks (GANs).
aaronpmishkin/talk-masters_presentation
aaronpmishkin/talk-opt2022
Slides for short talk for OPT 2022.
aaronpmishkin/talk-painless_sgd
Several different talks on Painless SGD.
aaronpmishkin/talk-policy_gradients
Talk on Standard and Natural Policy Gradients for Discounted Rewards.
aaronpmishkin/talk-why_deep_learning_works
Intro talk for "Why Does Deep Learning Work?" session of MLRG.
aaronpmishkin/vc-prototype
Small prototype of D3 based value charts.
aaronpmishkin/website
Personal website.