Disha Makhija

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 13

Top Topics

Fraud Detection

Top Venues

Proc. VLDB Endow.

Publications

Disha Makhija, Joydeep Ghosh, Yejin Kim
Federated Learning for Estimating Heterogeneous Treatment Effects. CoRR (2024)
Disha Makhija, Xing Han, Joydeep Ghosh, Yejin Kim
Achieving Fairness Across Local and Global Models in Federated Learning. CoRR (2024)
Disha Makhija, Joydeep Ghosh, Nhat Ho
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings. CoRR (2023)
Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh
Architecture Agnostic Federated Learning for Neural Networks. CoRR (2022)
Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh
Architecture Agnostic Federated Learning for Neural Networks. ICML (2022)
Disha Makhija, Nhat Ho, Joydeep Ghosh
Federated Self-supervised Learning for Heterogeneous Clients. CoRR (2022)
Avirup Saha, Shreyas Sheshadri, Samik Datta, Niloy Ganguly, Disha Makhija, Priyank Patel
Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model. IJCAI (2020)
Shreyas Sheshadri, Harsh Maheshwari, Avijit Saha, Samik Datta, Shashank Jain, Disha Makhija, Anuj Nagpal, Sneha Shukla, Suyash S
Audience Creation for Consumables - Simple and Scalable Precision Merchandising for a Growing Marketplace. CoRR (2020)
Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian
REV2: Fraudulent User Prediction in Rating Platforms. WSDM (2018)
Dhivya Eswaran, Stephan Günnemann, Christos Faloutsos, Disha Makhija, Mohit Kumar
ZooBP: Belief Propagation for Heterogeneous Networks. Proc. VLDB Endow. 10 (5) (2017)
Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian
FairJudge: Trustworthy User Prediction in Rating Platforms. CoRR (2017)
Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos
EdgeCentric: Anomaly Detection in Edge-Attributed Networks. ICDM Workshops (2016)
Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. SDM (2016)
Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. CoRR (2015)
Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos
EdgeCentric: Anomaly Detection in Edge-Attributed Networks. CoRR (2015)