learning-theory

There are 2 repositories under learning-theory topic.

tensorflow / adanet
Fast and flexible AutoML with learning guarantees.
automl tensorflow learning-theory deep-learning neural-architecture-search gpu machine-learning ensemble tpu python distributed-training
Language:Jupyter Notebook 3469
tirthajyoti / Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
artificial-intelligence data-mining data-science deep-learning game-theory hardware learning-theory literature machine-learning machine-learning-algorithms neural-network paper pattern-recognition reinforcement-learning silicon statistical-learning statistics
2427
SMPyBandits
SMPyBandits / SMPyBandits
🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on
bandit-algorithms cognitive-radio internet-of-things learning-theory multi-arm-bandits multi-armed-bandit open-source python research simulations
Language:Jupyter Notebook 388
Guyanqi / Awesome-Privacy
Repository for collection of research papers on privacy.
privacy differential-privacy awesome-list paper machine-learning learning-theory
337
FranxYao / Distributional-Generalization-in-Natural-Language-Processing
Distributional Generalization in NLP. A roadmap.
compositional-generalization compositionality semantic-parsing semantics generalization learning-theory
Language:Jupyter Notebook 87
Wei2624 / AI_Learning_Hub
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
machine-learning machine-learning-algorithms deep-learning deep-neural-networks statistics svm-classifier discriminant-analysis generative-model expectation-maximization-algorithm variational-inference learningnotes learning-theory regularization perceptron-learning-algorithm k-means-clustering gaussian-mixture-models
Language:HTML 58
grasp-lyrl / modelzoo_continual
Model Zoos for Continual Learning (ICLR 22)
continual-learning learning-theory deep-learning pytorch iclr2022 lifelong-learning
Language:Python 41
ajwills72 / catlearn
Formal Psychological Models of Categorization and Learning
categorization open-science formal-models learning-theory learning psychology cognitive-science open-models
Language:R 25
juliusberner / oberwolfach_workshop
Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
deep-learning mathematics neural-network approximation learning-theory
Language:Jupyter Notebook 17
HamBa-m / scinis-learn
Scinis-learn is a package of non-OOP functions for Machine Learning developed by young Moroccan AI engineering students from scratch.
machine-learning python functional-programming learning-theory
Language:Python 15
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.
learning-theory sparse-coding dictionary-learning sample-complexity
Language:MATLAB 13
nzw0301 / pb-contrastive
#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning
contrastie-learning learning-theory pac-bayes pytorch representation-learning
Language:Python 12
BensonHuangTW / Machine_Learning_Foundations_Fall2020_Homework_Solutions
Solutions and Codes Example for Assignments of Machine Learning Foundation, Fall 2020, National Taiwan University
machine-learning learning-theory national-taiwan-university mathematics python
9
ericzhao28 / multidistributionlearning
Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)
federated-learning gdro learning-theory min-max-optimization
Language:Python 8
TimoFlesch / NeuralTangentKernel
A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)
neural-tangent-kernel ntk learning-theory
Language:Jupyter Notebook 8
rahul13ramesh / MultiTask_ModelZoo
Implementation of https://arxiv.org/abs/2106.03027
multitask-learning continual-learning model-zoo transfer-learning lifelong-learning learning-theory
Language:Python 7
vzantedeschi / StocMV
source code of NeurIPS 2021 paper: "Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound"
pytorch ensemble-learning learning-theory
Language:Jupyter Notebook 6
gletarte / dichotomize-and-generalize
PAC-Bayesian Binary Activated Deep Neural Networks
pac-bayes deep-learning neural-network generalization learning-theory
Language:Python 5
j2kun / guess-the-polynomial
A program that learns your polynomial using just two queries
polynomials learning-theory
Language:Python 5
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 learning-theory monotonicity mnist streaming-data
Language:MATLAB 3
j2kun / binary-search-graphs
Python code for the post "Binary Search on Graphs"
mathematics python binary-search graph-theory graphs learning-theory
Language:Python 2
juliusberner / theory2practice
Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)
adversarial-examples deep-learning learning-theory neural-networks pytorch ray-tune weights-and-biases machine-learning-algorithms
Language:Python 2
MLO-lab / BVCD_generative_models
Codebase for "A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models", published at ICML 2024.
deep-learning generative-models kernels learning-theory machine-learning
Language:Jupyter Notebook 2
gamatos / gold
A proof of concept C++ application for learning regular languages
cpp deterministic-finite-automata dfa learning-theory regular-languages
Language:C++ 1
mdsunivie / theory2practice
Training ReLU networks to high uniform accuracy is intractable
adversarial-examples deep-learning learning-theory machine-learning-algorithms neural-networks pytorch ray-tune weights-and-biases
Language:Python 1
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
regularization high-dimensional-statistics learning-theory robustness robust-overfitting machine-learning
Language:Jupyter Notebook 1
sourav22899 / k-sets-problem
Official code for k-experts - Online Policies and Fundamental Limits, AISTATS 2022
learning-theory online-learning python structured-prediction
Language:Python 1
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.
learning-theory machine-learning mixture-of-experts optimal-transport statistical-learning
Language:Python 1
TWUOnline / course-design-lab
Course Design Lab Repository
teaching learning instructional-design learning-theory
1
Intelligent-Interfaces / chaoshearing
🤐
dynamical-systems optimization-algorithms learning-theory hearing-performance casa
0
mohammad8921 / UniformStabilityOfAdam
All codes of my master thesis conducted under computational learning theory
age-estimation classification deep-learning learning-theory loss-functions optimization-algorithms uniform-stability generalization-error graph-learning
Language:Jupyter Notebook 0
ndsgit01 / learning-theory
- Rademacher complexity - ERM algo on boolean conjunction prediction - online learning
learning-theory
Language:Python 0
shreyaverma165 / ML-5622
CSCI 5622 | CU Boulder | Spring 2018 | Chris Ketelsen
machine-learning knn-regression feature-engineering logistic-regression learning-theory
Language:Jupyter Notebook 0
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
Language:TeX
saurabhmathur96 / presentations
A collection of some of my presentations
association-rules neural-network computer-vision learning-theory chatbot
Language:TeX

learning-theory

tensorflow / adanet

tirthajyoti / Papers-Literature-ML-DL-RL-AI

SMPyBandits / SMPyBandits

Guyanqi / Awesome-Privacy

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

Wei2624 / AI_Learning_Hub

grasp-lyrl / modelzoo_continual

ajwills72 / catlearn

juliusberner / oberwolfach_workshop

HamBa-m / scinis-learn

yokoxue / HRP

nzw0301 / pb-contrastive

BensonHuangTW / Machine_Learning_Foundations_Fall2020_Homework_Solutions

ericzhao28 / multidistributionlearning

TimoFlesch / NeuralTangentKernel

rahul13ramesh / MultiTask_ModelZoo

vzantedeschi / StocMV

gletarte / dichotomize-and-generalize

j2kun / guess-the-polynomial

tomviering / monotone

j2kun / binary-search-graphs

juliusberner / theory2practice

MLO-lab / BVCD_generative_models

gamatos / gold

mdsunivie / theory2practice

michaelaerni / interpolation_robustness

sourav22899 / k-sets-problem

Trung-TinNGUYEN / CRPE-GMoE

TWUOnline / course-design-lab

Intelligent-Interfaces / chaoshearing

mohammad8921 / UniformStabilityOfAdam

ndsgit01 / learning-theory

shreyaverma165 / ML-5622

kazeevn / no_free_lunch

saurabhmathur96 / presentations