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learning-theory

Here are 35 public repositories matching this topic...

MLO-lab / BVCD_generative_models

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

machine-learning deep-learning kernels learning-theory generative-models

Updated Aug 14, 2024
Jupyter Notebook

Guyanqi / Awesome-Privacy

Repository for collection of research papers on privacy.

machine-learning privacy paper awesome-list differential-privacy learning-theory

Updated Jul 19, 2024

Mohammad8921 / UniformStabilityOfAdam

All codes of my master thesis conducted under computational learning theory

deep-learning classification optimization-algorithms loss-functions learning-theory age-estimation graph-learning generalization-error uniform-stability

Updated Jun 17, 2024
Jupyter Notebook

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

python open-source research internet-of-things simulations multi-arm-bandits multi-armed-bandit learning-theory bandit-algorithms cognitive-radio

Updated Apr 30, 2024
Jupyter Notebook

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.

machine-learning statistical-learning optimal-transport learning-theory mixture-of-experts

Updated Feb 8, 2024
Python

ajwills72 / catlearn

Formal Psychological Models of Categorization and Learning

learning open-science psychology cognitive-science categorization learning-theory formal-models open-models

Updated Feb 2, 2024
R

tensorflow / adanet

Fast and flexible AutoML with learning guarantees.

python machine-learning deep-learning tensorflow gpu ensemble automl learning-theory neural-architecture-search distributed-training tpu

Updated Nov 30, 2023
Jupyter Notebook

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.

python machine-learning functional-programming learning-theory

Updated Nov 17, 2023
Python

sourav22899 / k-sets-problem

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

python online-learning structured-prediction learning-theory

Updated Jul 21, 2024
Python

vzantedeschi / StocMV

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

pytorch ensemble-learning learning-theory

Updated Oct 25, 2023
Jupyter Notebook

ndsgit01 / learning-theory

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

learning-theory

Updated Aug 14, 2023
Python

grasp-lyrl / modelzoo_continual

Model Zoos for Continual Learning (ICLR 22)

deep-learning pytorch learning-theory lifelong-learning continual-learning iclr2022

Updated May 29, 2023
Python

juliusberner / oberwolfach_workshop

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

deep-learning neural-network mathematics approximation learning-theory

Updated Mar 25, 2023
Jupyter Notebook

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

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

data-science machine-learning data-mining statistics reinforcement-learning deep-learning neural-network hardware paper machine-learning-algorithms statistical-learning artificial-intelligence game-theory pattern-recognition literature silicon learning-theory

Updated Feb 18, 2023

juliusberner / theory2practice

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

deep-learning machine-learning-algorithms pytorch neural-networks learning-theory adversarial-examples weights-and-biases ray-tune

Updated Feb 6, 2023
Python

gamatos / gold

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

cpp dfa regular-languages learning-theory deterministic-finite-automata

Updated Dec 27, 2022
C++

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

Distributional Generalization in NLP. A roadmap.

semantics semantic-parsing learning-theory generalization compositionality compositional-generalization

Updated Dec 12, 2022
Jupyter Notebook

mdsunivie / theory2practice

Training ReLU networks to high uniform accuracy is intractable

deep-learning machine-learning-algorithms pytorch neural-networks learning-theory adversarial-examples weights-and-biases ray-tune

Updated Nov 14, 2022
Python

ericzhao28 / multidistributionlearning

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

learning-theory federated-learning min-max-optimization gdro

Updated Oct 25, 2022
Python

Wei2624 / AI_Learning_Hub

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

machine-learning statistics deep-neural-networks deep-learning machine-learning-algorithms generative-model gaussian-mixture-models regularization expectation-maximization-algorithm variational-inference svm-classifier learningnotes learning-theory k-means-clustering perceptron-learning-algorithm discriminant-analysis

Updated Oct 6, 2022
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