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
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tensorflow/adanet
Fast and flexible AutoML with learning guarantees.
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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
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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)
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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
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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
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grasp-lyrl/modelzoo_continual
Model Zoos for Continual Learning (ICLR 22)
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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.
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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)
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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.
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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
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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"
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nzw0301/pb-contrastive
#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning
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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
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ericzhao28/multidistributionlearning
Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)
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sourav22899/k-sets-problem
Official code for k-experts - Online Policies and Fundamental Limits, AISTATS 2022
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juliusberner/oberwolfach_workshop
Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
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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
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gamatos/gold
A proof of concept C++ application for learning regular languages
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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
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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
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gletarte/dichotomize-and-generalize
PAC-Bayesian Binary Activated Deep Neural Networks
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Intelligent-Interfaces/chaoshearing
🤐
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j2kun/binary-search-graphs
Python code for the post "Binary Search on Graphs"
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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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