Machine-Learning-Regression

Code and results accompanying our paper titled RATT: Leveraging Unlabeled Data to guarantee generalization at ICML 2021 (Long Talk)

Stagewise training accelerates convergence of testing error over sgd

Official implementation for "A Statistical Model for Predicting Generalization in Few-Shot Classification" accepted at EUSIPCO 2023

This is the official repository for the ICLR 2024 paper Out-Of-Domain Unlabeled Data Improves Generalization.

Meta Ensemble Self-Learning Model with Optimization

A small C library for computation of U-statistics

Assessing Impact of Vicinal Risk Minimization on Teacher-Student Learning

Single Layer Perceptrons (SLPs) and Multi-Layer Perceptrons (MLPs) from scratch, only with numpy, for classification and regression. MLPs with Keras for time-series prediction.

Intuitive Package for Heterogeneous Ensemble Meta-Learning (Classification, Regression) that is fully-automated

All codes of my master thesis conducted under computational learning theory

Memorization to generalization transition in diffusion based generative models: arxiv-2411.17807