Disha Makhija

According to our database1, Disha Makhija authored at least 13 papers between 2016 and 2024.

Collaborative distances:

Timeline

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2023
2024
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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Achieving Fairness Across Local and Global Models in Federated Learning.
CoRR, 2024

Federated Learning for Estimating Heterogeneous Treatment Effects.
CoRR, 2024

A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings.
CoRR, 2023

2022
Federated Self-supervised Learning for Heterogeneous Clients.
CoRR, 2022

Architecture Agnostic Federated Learning for Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022

2020
Audience Creation for Consumables - Simple and Scalable Precision Merchandising for a Growing Marketplace.
CoRR, 2020

Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2018
REV2: Fraudulent User Prediction in Rating Platforms.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017
ZooBP: Belief Propagation for Heterogeneous Networks.
Proc. VLDB Endow., 2017

FairJudge: Trustworthy User Prediction in Rating Platforms.
CoRR, 2017

2016
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

EdgeCentric: Anomaly Detection in Edge-Attributed Networks.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016


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