Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problemsby Gianluigi Silvestri, Fabio Valerio Massoli, Tribhuvanesh…
When to Accept Automated Predictions and When to Defer to Human Judgment?by Daniel Sikar, Artur…
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learningby Giuseppe…
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…