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ORCIDDisha Makhija
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2020 – today
- 2024
[i9]Disha Makhija, Joydeep Ghosh, Yejin Kim:
Federated Learning for Estimating Heterogeneous Treatment Effects. CoRR abs/2402.17705 (2024)- [i8]Disha Makhija, Xing Han, Joydeep Ghosh, Yejin Kim:
Achieving Fairness Across Local and Global Models in Federated Learning. CoRR abs/2406.17102 (2024) - 2023
- [i7]Disha Makhija, Joydeep Ghosh, Nhat Ho:
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings. CoRR abs/2306.07959 (2023) - 2022
- [c5]Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh:
Architecture Agnostic Federated Learning for Neural Networks. ICML 2022: 14860-14870 - [i6]Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh:
Architecture Agnostic Federated Learning for Neural Networks. CoRR abs/2202.07757 (2022) - [i5]Disha Makhija, Nhat Ho, Joydeep Ghosh:
Federated Self-supervised Learning for Heterogeneous Clients. CoRR abs/2205.12493 (2022) - 2020
- [c4]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: 1345-1351 - [i4]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 abs/2011.08575 (2020)
2010 – 2019
- 2018
- [c3]Srijan Kumar
, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian:
REV2: Fraudulent User Prediction in Rating Platforms. WSDM 2018: 333-341 - 2017
- [j1]Dhivya Eswaran, Stephan Günnemann, Christos Faloutsos, Disha Makhija, Mohit Kumar:
ZooBP: Belief Propagation for Heterogeneous Networks. Proc. VLDB Endow. 10(5): 625-636 (2017) - [i3]Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian:
FairJudge: Trustworthy User Prediction in Rating Platforms. CoRR abs/1703.10545 (2017) - 2016
- [c2]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: 327-334 - [c1]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: 495-503 - 2015
- [i2]Neil Shah, Alex Beutel, Bryan Hooi, Leman Akoglu, Stephan Günnemann, Disha Makhija, Mohit Kumar, Christos Faloutsos:
EdgeCentric: Anomaly Detection in Edge-Attributed Networks. CoRR abs/1510.05544 (2015) - [i1]Bryan Hooi, Neil Shah, Alex Beutel, Stephan Günnemann, Leman Akoglu, Mohit Kumar, Disha Makhija, Christos Faloutsos:
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection. CoRR abs/1511.06030 (2015)
Coauthor Index
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