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learning-theory

Here are 15 public repositories matching this topic...

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

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

nzw0301 / pb-contrastive

#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning

pytorch representation-learning learning-theory pac-bayes contrastie-learning

Updated May 23, 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

rahul13ramesh / MultiTask_ModelZoo

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

model-zoo transfer-learning learning-theory lifelong-learning continual-learning multitask-learning

Updated Feb 16, 2022
Python

j2kun / guess-the-polynomial

A program that learns your polynomial using just two queries

polynomials learning-theory

Updated Jun 9, 2020
Python

gletarte / dichotomize-and-generalize

PAC-Bayesian Binary Activated Deep Neural Networks

deep-learning neural-network learning-theory generalization pac-bayes

Updated Jul 25, 2024
Python

johnjaejunlee95 / synergistic-multimodal

Official code for Paper: "Can One Modality Model Synergize Training of Other Modality Models?" implemented in PyTorch

learning-theory multimodal-learning

Updated Mar 5, 2025
Python

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

j2kun / binary-search-graphs

Python code for the post "Binary Search on Graphs"

python graphs mathematics graph-theory binary-search learning-theory

Updated Jun 9, 2020
Python

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

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

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

ndsgit01 / learning-theory

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

learning-theory

Updated Aug 14, 2023
Python

quantumsoftwarelab / qpsq-learning

Code for arxiv:2310.02075

qml learning-theory qiskit

Updated Dec 11, 2024
Python

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