learning-theory
There are 40 repositories under learning-theory topic.
tensorflow/adanet
Fast and flexible AutoML with learning guarantees.
tirthajyoti/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
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
Guyanqi/Awesome-Privacy
Repository for collection of research papers on privacy.
FranxYao/Distributional-Generalization-in-Natural-Language-Processing
Distributional Generalization in NLP. A roadmap.
Wei2624/AI_Learning_Hub
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
grasp-lyrl/modelzoo_continual
Model Zoos for Continual Learning (ICLR 22)
ajwills72/catlearn
Formal Psychological Models of Categorization and Learning
juliusberner/oberwolfach_workshop
Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
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.
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.
nzw0301/pb-contrastive
#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning
BensonHuangTW/Machine_Learning_Foundations_Fall2020_Homework_Solutions
Solutions and Codes Example for Assignments of Machine Learning Foundation, Fall 2020, National Taiwan University
ericzhao28/multidistributionlearning
Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)
TimoFlesch/NeuralTangentKernel
A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)
johnjaejunlee95/synergistic-multimodal
Official code for Paper: "Can One Modality Model Synergize Training of Other Modality Models?" implemented in PyTorch
rahul13ramesh/MultiTask_ModelZoo
Implementation of https://arxiv.org/abs/2106.03027
vzantedeschi/StocMV
source code of NeurIPS 2021 paper: "Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound"
gletarte/dichotomize-and-generalize
PAC-Bayesian Binary Activated Deep Neural Networks
j2kun/guess-the-polynomial
A program that learns your polynomial using just two queries
MLO-lab/BVCD_generative_models
Codebase for "A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models", published at ICML 2024.
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.
j2kun/binary-search-graphs
Python code for the post "Binary Search on Graphs"
juliusberner/theory2practice
Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)
TWUOnline/course-design-lab
Course Design Lab Repository
gamatos/gold
A proof of concept C++ application for learning regular languages
mdsunivie/theory2practice
Training ReLU networks to high uniform accuracy is intractable
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
sourav22899/k-sets-problem
Official code for k-experts - Online Policies and Fundamental Limits, AISTATS 2022
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
mohammad8921/UniformStabilityOfAdam
All codes of my master thesis conducted under computational learning theory
ndsgit01/learning-theory
- Rademacher complexity - ERM algo on boolean conjunction prediction - online learning
quantumsoftwarelab/qpsq-learning
Code for arxiv:2310.02075
fiidalgo/notes
A growing collection of notes on computer science papers, topics, and concepts. Organized by subject and curated for deeper learning.
pfekin/summation-based-transformers
Linear-time sequence modeling that replaces attention's O(n²d) complexity with O(nd) summation-based aggregation. Demonstrates constraint-driven emergence: how functional representations can develop from optimization pressure and architectural constraints alone, without explicit pairwise interactions.
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)