nlokeshiisc

pairnet_release

CATENets_BASE

Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

TAship

Code for TAship

GIKS_release

Official code for the AAAI-24 paper: Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing

recourse_release

Code for the paper: Learning Recourse on Instance Environment to Enhance Prediction Accuracy, Neurips 2022

lokeshn

GCFL_Release

GCFL

dataset-interfaces

Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation

deep_causal_inference_ite_library

Code library for training causal inference deep learning models with automatic hyperparameter optimization written in Tensorflow 2.

AIML_22_grading

mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

ONE

Outlier Aware Network Embedding for Attributed Networks

minmax-opt-smooth-adversary

AAA

Active and Efficient Estimation of Accuracy Surfaces

cs726_var_dedup

CS726 Adv. Machine Learning Project

SFedAvg-AAAI21

Supplementary material for the paper: Game of Gradients: Mitigating irrelevant clients in Federated Learning

www-hoodle

web home for hoodle project