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learning-theory

Here are 35 public repositories matching this topic...

shreyaverma165 / ML-5622

CSCI 5622 | CU Boulder | Spring 2018 | Chris Ketelsen

machine-learning logistic-regression feature-engineering knn-regression learning-theory

Updated Mar 21, 2018
Jupyter Notebook

TWUOnline / course-design-lab

Course Design Lab Repository

learning teaching learning-theory instructional-design

Updated May 6, 2018

kazeevn / no_free_lunch

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

machine-learning learning-theory

Updated Sep 17, 2019
TeX

tomviering / monotone

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.

machine-learning monotonicity mnist streaming-data learning-theory

Updated Apr 23, 2020
MATLAB

saurabhmathur96 / presentations

A collection of some of my presentations

computer-vision neural-network chatbot association-rules learning-theory

Updated May 16, 2020
TeX

j2kun / binary-search-graphs

Python code for the post "Binary Search on Graphs"

python graphs mathematics graph-theory binary-search learning-theory

Updated Jun 9, 2020
Python

j2kun / guess-the-polynomial

A program that learns your polynomial using just two queries

polynomials learning-theory

Updated Jun 9, 2020
Python

Intelligent-Interfaces / chaoshearing

🤐

dynamical-systems optimization-algorithms casa learning-theory hearing-performance

Updated Jan 25, 2021

TimoFlesch / NeuralTangentKernel

A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)

learning-theory ntk neural-tangent-kernel

Updated Feb 22, 2021
Jupyter Notebook

yokoxue / HRP

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.

sparse-coding dictionary-learning learning-theory sample-complexity

Updated Jul 20, 2021
MATLAB

BensonHuangTW / Machine_Learning_Foundations_Fall2020_Homework_Solutions

Solutions and Codes Example for Assignments of Machine Learning Foundation, Fall 2020, National Taiwan University

python machine-learning mathematics learning-theory national-taiwan-university

Updated Sep 24, 2021

rahul13ramesh / MultiTask_ModelZoo

Implementation of https://arxiv.org/abs/2106.03027

model-zoo transfer-learning learning-theory lifelong-learning continual-learning multitask-learning

Updated Feb 16, 2022
Python

michaelaerni / interpolation_robustness

Code for the paper "Interpolation can hurt robust generalization even when there is no noise" available here: https://papers.nips.cc/paper/2021/hash/c4f2c88e16a579900657c18726641c81-Abstract.html

machine-learning regularization robustness learning-theory high-dimensional-statistics robust-overfitting

Updated May 10, 2022
Jupyter Notebook

nzw0301 / pb-contrastive

#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning

pytorch representation-learning learning-theory pac-bayes contrastie-learning

Updated May 23, 2022
Python

gletarte / dichotomize-and-generalize

PAC-Bayesian Binary Activated Deep Neural Networks

deep-learning neural-network learning-theory generalization pac-bayes

Updated Jul 25, 2024
Python

Wei2624 / AI_Learning_Hub

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

Updated Oct 6, 2022
HTML

ericzhao28 / multidistributionlearning

Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)

learning-theory federated-learning min-max-optimization gdro

Updated Oct 25, 2022
Python

mdsunivie / theory2practice

Training ReLU networks to high uniform accuracy is intractable

deep-learning machine-learning-algorithms pytorch neural-networks learning-theory adversarial-examples weights-and-biases ray-tune

Updated Nov 14, 2022
Python

FranxYao / Distributional-Generalization-in-Natural-Language-Processing

Distributional Generalization in NLP. A roadmap.

semantics semantic-parsing learning-theory generalization compositionality compositional-generalization

Updated Dec 12, 2022
Jupyter Notebook

gamatos / gold

A proof of concept C++ application for learning regular languages

cpp dfa regular-languages learning-theory deterministic-finite-automata

Updated Dec 27, 2022
C++

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