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learning-theory
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Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
data-science
machine-learning
data-mining
statistics
reinforcement-learning
deep-learning
neural-network
hardware
paper
machine-learning-algorithms
statistical-learning
artificial-intelligence
game-theory
pattern-recognition
literature
silicon
learning-theory
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Aug 12, 2021
python
open-source
research
internet-of-things
simulations
multi-arm-bandits
multi
multi-armed-bandit
learning-theory
mab
bandit-algorithms
cognitive-radio
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May 25, 2021 - Jupyter Notebook
Repository for collection of research papers on privacy.
machine-learning
privacy
paper
awesome-list
cps
differential-privacy
learning-theory
jonathan-ullman
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Jul 22, 2021
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
machine-learning
statistics
deep-neural-networks
deep-learning
machine-learning-algorithms
generative-model
gaussian-mixture-models
regularization
expectation-maximization-algorithm
variational-inference
svm-classifier
learningnotes
learning-theory
k-means-clustering
perceptron-learning-algorithm
discriminant-analysis
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Jul 13, 2021 - HTML
Material for 'Mathematics of Deep Learning Workshop' (https://www.mfo.de/occasion/1947a)
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Jun 11, 2021 - Jupyter Notebook
Formal Psychological Models of Categorization and Learning
learning
open-science
psychology
cognitive-science
categorization
learning-theory
formal-models
open-models
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Jun 30, 2021 - R
Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning
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Aug 28, 2020 - Python
Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.
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Jul 20, 2021 - MATLAB
Solutions and Codes Example for Assignments of Machine Learning Foundation, Fall 2020, National Taiwan University
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Aug 17, 2021 - Python
A compendium of exercises and solutions to frequently asked exam and homework problems in the theoretical machine learning world.
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Jun 22, 2021 - TeX
PAC-Bayesian Binary Activated Deep Neural Networks
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Jan 13, 2021 - Python
A program that learns your polynomial using just two queries
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Jun 9, 2020 - Python
A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)
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Feb 22, 2021 - Jupyter Notebook
Implementation of https://arxiv.org/abs/2106.03027
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Jul 14, 2021 - Python
This repository contains the code to reproduce all of the results in our paper: Making Learners (More) Monotone, T J Viering, A Mey, M Loog, IDA 2020.
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Apr 23, 2020 - MATLAB
Python code for the post "Binary Search on Graphs"
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Jun 9, 2020 - Python
Course Design Lab Repository
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May 6, 2018
A rewrite of "The Lack of A Priori Distinctions Between Learning Algorithms" http://www.mitpressjournals.org/doi/abs/10.1162/neco.1996.8.7.1341
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Sep 17, 2019 - TeX
CSCI 5622 | CU Boulder | Spring 2018 | Chris Ketelsen
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Mar 21, 2018 - Jupyter Notebook
A collection of some of my presentations
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May 16, 2020 - TeX
Code for the paper "Interpolation can hurt robust generalization even when there is no noise" available here: https://arxiv.org/abs/2108.02883
machine-learning
regularization
robustness
learning-theory
high-dimensional-statistics
robust-overfitting
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Aug 13, 2021 - Jupyter Notebook
Course Repo for Machine-Learning
neural-network
feature-extraction
mnist-dataset
logistic-regression
adaboost
feature-engineering
tvtropes
back-propagation
knn-classification
learning-theory
forward-propagation
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May 17, 2018 - Jupyter Notebook
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Jan 25, 2021
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We would like to forward a particular 'key' column which is part of the features to appear alongside the predictions - this is to be able to identify to which set of features a particular prediction belongs to. Here is an example of predictions output using the tensorflow.contrib.estimator.multi_class_head: