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learning-theory

Here are 34 public repositories matching this topic...

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

Trung-TinNGUYEN / CRPE-GMoE

About Code repository for: Nguyen, H., Nguyen, T., Nguyen, K., & Ho, N. (2024). Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts. In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, Acceptance rate 27.6% over 1980 submissions.

machine-learning statistical-learning optimal-transport learning-theory mixture-of-experts

Updated Feb 8, 2024
Python

saurabhmathur96 / presentations

A collection of some of my presentations

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

Updated May 16, 2020
TeX

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

ndsgit01 / learning-theory

- Rademacher complexity - ERM algo on boolean conjunction prediction - online learning

learning-theory

Updated Aug 14, 2023
Python

Mohammad8921 / UniformStabilityOfAdam

All codes of my master thesis conducted under computational learning theory

deep-learning classification optimization-algorithms loss-functions learning-theory age-estimation graph-learning generalization-error uniform-stability

Updated Feb 17, 2024
Jupyter Notebook

Intelligent-Interfaces / chaoshearing

🤐

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

Updated Jan 25, 2021

juliusberner / theory2practice

Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)

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

Updated Feb 6, 2023
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

sourav22899 / k-sets-problem

Official code for k-experts - Online Policies and Fundamental Limits, AISTATS 2022

python online-learning structured-prediction learning-theory

Updated Nov 13, 2023
Python

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++

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

TWUOnline / course-design-lab

Course Design Lab Repository

learning teaching learning-theory instructional-design

Updated May 6, 2018

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

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

j2kun / guess-the-polynomial

A program that learns your polynomial using just two queries

polynomials learning-theory

Updated Jun 9, 2020
Python

gletarte / dichotomize-and-generalize

PAC-Bayesian Binary Activated Deep Neural Networks

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

Updated Jun 22, 2022
Python

vzantedeschi / StocMV

source code of NeurIPS 2021 paper: "Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound"

pytorch ensemble-learning learning-theory

Updated Oct 25, 2023
Jupyter Notebook

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

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

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