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GitHub topics: learning-theory

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

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Size: 495 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 2,613 - Forks: 763

tensorflow/adanet

Fast and flexible AutoML with learning guarantees.

Language: Jupyter Notebook - Size: 2.46 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 3,460 - Forks: 530

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

Language: Jupyter Notebook - Size: 392 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 406 - Forks: 59

wkzng/iredfloor

This repository includes all experiments, visualizations, and numerical estimations of lower bounds described in the paper, with applications to synthetic setups, linear models, and deep learning tasks (MNIST, CIFAR-100)

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

fiidalgo/boolean-evolvability

Simulating evolvability of Boolean functions using genetic algorithms using Valiant's theoretical model. Explores how evolvability depends on input distributions, how constraints affect evolutionary learning, and how robustness trades off with the complexity of evolvable mechanisms

Language: Python - Size: 7.03 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

fiidalgo/notes

A growing collection of notes on computer science papers, topics, and concepts. Organized by subject and curated for deeper learning.

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ajwills72/catlearn

Formal Psychological Models of Categorization and Learning

Language: R - Size: 41.7 MB - Last synced at: 14 days ago - Pushed at: 3 months ago - Stars: 25 - Forks: 6

grasp-lyrl/modelzoo_continual

Model Zoos for Continual Learning (ICLR 22)

Language: Python - Size: 1 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 45 - Forks: 9

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.

Language: MATLAB - Size: 14.5 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 13 - Forks: 3

TimoFlesch/NeuralTangentKernel

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

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

Distributional Generalization in NLP. A roadmap.

Language: Jupyter Notebook - Size: 5.94 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 88 - Forks: 3

Guyanqi/Awesome-Privacy

Repository for collection of research papers on privacy.

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juliusberner/theory2practice

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

Language: Python - Size: 104 KB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

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.

Language: MATLAB - Size: 57.6 KB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 0

MLO-lab/BVCD_generative_models

Codebase for "A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models", published at ICML 2024.

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Mohammad8921/UniformStabilityOfAdam

All codes of my master thesis conducted under computational learning theory

Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

saurabhmathur96/presentations

A collection of some of my presentations

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vzantedeschi/StocMV

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

Language: Jupyter Notebook - Size: 3.55 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 3

nzw0301/pb-contrastive

#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning

Language: Python - Size: 74.2 KB - Last synced at: 20 days ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 1

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.

Language: Python - Size: 10.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 1

BensonHuangTW/Machine_Learning_Foundations_Fall2020_Homework_Solutions

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

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ndsgit01/learning-theory

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

Language: Python - Size: 11.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

ericzhao28/multidistributionlearning

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

Language: Python - Size: 31.3 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

sourav22899/k-sets-problem

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

Language: Python - Size: 85 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

juliusberner/oberwolfach_workshop

Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)

Language: Jupyter Notebook - Size: 60.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 4

Wei2624/AI_Learning_Hub

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

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rahul13ramesh/MultiTask_ModelZoo 📦

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

Language: Python - Size: 566 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 2

gamatos/gold

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

Language: C++ - Size: 66.4 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 3.36 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

mdsunivie/theory2practice Fork of juliusberner/theory2practice

Training ReLU networks to high uniform accuracy is intractable

Language: Python - Size: 102 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

j2kun/guess-the-polynomial

A program that learns your polynomial using just two queries

Language: Python - Size: 1.95 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 2

gletarte/dichotomize-and-generalize

PAC-Bayesian Binary Activated Deep Neural Networks

Language: Python - Size: 19.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 3

Intelligent-Interfaces/chaoshearing

🤐

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j2kun/binary-search-graphs

Python code for the post "Binary Search on Graphs"

Language: Python - Size: 1.95 KB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 2

TWUOnline/course-design-lab

Course Design Lab Repository

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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

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shreyaverma165/ML-5622

CSCI 5622 | CU Boulder | Spring 2018 | Chris Ketelsen

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Related Keywords
learning-theory 37 machine-learning 12 deep-learning 11 python 6 pytorch 5 machine-learning-algorithms 4 neural-network 4 mathematics 3 optimization-algorithms 3 regularization 2 lifelong-learning 2 adversarial-examples 2 statistics 2 neural-networks 2 ray-tune 2 weights-and-biases 2 pac-bayes 2 paper 2 continual-learning 2 learning 2 generalization 2 min-max-optimization 1 gdro 1 federated-learning 1 online-learning 1 structured-prediction 1 approximation 1 deep-neural-networks 1 logistic-regression 1 national-taiwan-university 1 functional-programming 1 representation-learning 1 contrastie-learning 1 ensemble-learning 1 computer-vision 1 chatbot 1 association-rules 1 uniform-stability 1 loss-functions 1 graph-learning 1 generalization-error 1 convergence-rate 1 knn-regression 1 feature-engineering 1 teaching 1 instructional-design 1 graphs 1 graph-theory 1 binary-search 1 hearing-performance 1 dynamical-systems 1 casa 1 polynomials 1 robustness 1 robust-overfitting 1 high-dimensional-statistics 1 regular-languages 1 dfa 1 deterministic-finite-automata 1 cpp 1 transfer-learning 1 multitask-learning 1 model-zoo 1 variational-inference 1 svm-classifier 1 perceptron-learning-algorithm 1 learningnotes 1 k-means-clustering 1 generative-model 1 gaussian-mixture-models 1 expectation-maximization-algorithm 1 discriminant-analysis 1 convergence-analysis 1 simulations 1 research 1 open-source 1 multi-armed-bandit 1 multi-arm-bandits 1 internet-of-things 1 cognitive-radio 1 bandit-algorithms 1 tpu 1 tensorflow 1 neural-architecture-search 1 gpu 1 ensemble 1 distributed-training 1 automl 1 statistical-learning 1 silicon 1 reinforcement-learning 1 pattern-recognition 1 literature 1 hardware 1 game-theory 1 data-science 1 data-mining 1 artificial-intelligence 1 classification 1 age-estimation 1