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Disha  Makhija
Disha Makhija
Verified email at utexas.edu
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Cited by
Cited by
Year
Rev2: Fraudulent user prediction in rating platforms
S Kumar, B Hooi, D Makhija, M Kumar, C Faloutsos, VS Subrahmanian
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
3902018
Birdnest: Bayesian inference for ratings-fraud detection
B Hooi, N Shah, A Beutel, S Günnemann, L Akoglu, M Kumar, D Makhija, ...
Proceedings of the 2016 SIAM International Conference on Data Mining, 495-503, 2016
1492016
Edgecentric: Anomaly detection in edge-attributed networks
N Shah, A Beutel, B Hooi, L Akoglu, S Gunnemann, D Makhija, M Kumar, ...
2016 IEEE 16Th international conference on data mining workshops (ICDMW …, 2016
822016
Zoobp: Belief propagation for heterogeneous networks
D Eswaran, S Günnemann, C Faloutsos, D Makhija, M Kumar
Proceedings of the VLDB Endowment 10 (5), 625-636, 2017
632017
Architecture agnostic federated learning for neural networks
D Makhija, X Han, N Ho, J Ghosh
International Conference on Machine Learning, 14860-14870, 2022
322022
FairJudge: Trustworthy user prediction in rating platforms
S Kumar, B Hooi, D Makhija, M Kumar, C Faloutsos, VS Subrahamanian
arXiv preprint arXiv:1703.10545, 2017
212017
Federated self-supervised learning for heterogeneous clients
D Makhija, N Ho, J Ghosh
arXiv preprint arXiv:2205.12493, 2022
142022
Understanding the success of graph-based semi-supervised learning using partially labelled stochastic block model
A Saha, S Sheshadri, S Datta, N Ganguly, D Makhija, P Patel
Proceedings of the Twenty-Ninth International Conference on International …, 2021
12021
Federated Learning for Estimating Heterogeneous Treatment Effects
D Makhija, J Ghosh, Y Kim
arXiv preprint arXiv:2402.17705, 2024
2024
A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings
D Makhija, J Ghosh, N Ho
2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings
D Makhija, J Ghosh, N Ho
arXiv preprint arXiv:2306.07959, 2023
2023
Audience Creation for Consumables--Simple and Scalable Precision Merchandising for a Growing Marketplace
H Maheshwari, A Saha, S Datta, S Jain, D Makhija, A Nagpal, S Shukla
arXiv preprint arXiv:2011.08575, 2020
2020
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Articles 1–12