learning-theory

Here are 29 public repositories matching this topic...

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 Aug 30, 2021
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tirthajyoti / Papers-Literature-ML-DL-RL-AI

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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 Aug 12, 2021

🔬 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 Mar 21, 2022
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Guyanqi / Awesome-Privacy

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Repository for collection of research papers on privacy.

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

Updated Dec 8, 2021

Wei2624 / AI_Learning_Hub

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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 Jul 22, 2022
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FranxYao / Compositional-Generalization-in-Natural-Language-Processing

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Compositional Generalization in NLP. A roadmap.

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

Updated Aug 17, 2022
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ajwills72 / catlearn

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Formal Psychological Models of Categorization and Learning

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

Updated Sep 22, 2022
R

grasp-lyrl / modelzoo_continual

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Model Zoos for Continual Learning (ICLR 22)

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

Updated Jun 22, 2022
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juliusberner / oberwolfach_workshop

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

deep-learning neural-network mathematics approximation learning-theory

Updated May 26, 2022
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yokoxue / HRP

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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.

sparse-coding dictionary-learning learning-theory sample-complexity

Updated Jul 20, 2021
MATLAB

nzw0301 / pb-contrastive

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#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning

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

Updated May 23, 2022
Python

BensonHuangTW / Machine_Learning_Foundations_Fall2020_Homework_Solutions

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Solutions and Codes Example for Assignments of Machine Learning Foundation, Fall 2020, National Taiwan University

python machine-learning mathematics learning-theory national-taiwan-university

Updated Sep 24, 2021

rahul13ramesh / MultiTask_ModelZoo

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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

TimoFlesch / NeuralTangentKernel

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A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)

learning-theory ntk neural-tangent-kernel

Updated Feb 22, 2021
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j2kun / guess-the-polynomial

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A program that learns your polynomial using just two queries

polynomials learning-theory

Updated Jun 9, 2020
Python

gletarte / dichotomize-and-generalize

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PAC-Bayesian Binary Activated Deep Neural Networks

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

Updated Jun 22, 2022
Python

vzantedeschi / StocMV

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

pytorch ensemble-learning learning-theory

Updated Mar 1, 2022
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tomviering / monotone

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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.

machine-learning monotonicity mnist streaming-data learning-theory