learning-theory
There are 35 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)
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
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"
MLO-lab/BVCD_generative_models
Codebase for "A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models", published at ICML 2024.
gamatos/gold
A proof of concept C++ application for learning regular languages
juliusberner/theory2practice
Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)
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
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.
TWUOnline/course-design-lab
Course Design Lab Repository
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
shreyaverma165/ML-5622
CSCI 5622 | CU Boulder | Spring 2018 | Chris Ketelsen
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
saurabhmathur96/presentations
A collection of some of my presentations