Boosted generalized normal distributions: Integrating machine learning with operations knowledgeby Ragip Gurlek, Francis de Vericourt,…
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectificationby Chutian Jiang,…
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learningby Sayyed Farid Ahamed,…
A Study of Acquisition Functions for Medical Imaging Deep Active Learningby Bonaventure F. P. DossouFirst…
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimizationby Nicola Bariletto, Nhat HoFirst submitted to arxiv on:…
Statistical Significance of Feature Importance Rankingsby Jeremy Goldwasser, Giles HookerFirst submitted to arxiv on: 28…
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimensionby Saptarshi Chakraborty,…
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliersby Alexandros…
Probabilistic Guarantees of Stochastic Recursive Gradient in Non-Convex Finite Sum Problemsby Yanjie Zhong, Jiaqi Li,…
Toward the Identifiability of Comparative Deep Generative Modelsby Romain Lopez, Jan-Christian Huetter, Ehsan Hajiramezanali, Jonathan…