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cs.LG2025
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
Praharsh Nanavati, Ranjitha Prasad, Karthikeyan Shanmugam
Estimating treatment effects from observational data is challenging due to two main reasons: (a) hidden confounding, and (b) covariate mismatch (control and treatment groups not ha…
cs.LG2025
Unified Robust and Convergent Over-The-Air Federated Learning under Channel Noise and Heterogeneity
Zubair Shaban, Nazreen Shah, Ranjitha Prasad
Federated learning (FL) has emerged as a key enabler of distributed model training across ubiquitous wireless edge devices while preserving data privacy in next-generation wireless…