Showing 421–440 of 1,000 results
/ Date/ Name
Jun 6, 2022Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret BoundsMay 30, 2022OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test GraphsMay 20, 2022Data Augmentation for Compositional Data: Advancing Predictive Models of the MicrobiomeMay 17, 2022Sharp asymptotics on the compression of two-layer neural networksMay 16, 2022The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture DataApr 11, 2022RMFGP: Rotated Multi-fidelity Gaussian process with Dimension Reduction for High-dimensional Uncertainty QuantificationMar 23, 2022Increasing the accuracy and resolution of precipitation forecasts using deep generative modelsMar 17, 2022Electronic excited states in deep variational Monte CarloMar 7, 2022Robust Modeling of Unknown Dynamical Systems via Ensemble Averaged LearningFeb 23, 2022Finding Safe Zones of policies Markov Decision ProcessesFeb 14, 2022Counterfactual inference in sequential experimentsFeb 14, 2022Continuous-time stochastic gradient descent for optimizing over the stationary distribution of stochastic differential equationsFeb 10, 2022Diffusion bridges vector quantized Variational AutoEncodersFeb 3, 2022Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcareJan 27, 2022Fast Moving Natural Evolution Strategy for High-Dimensional ProblemsJan 18, 2022Socioeconomic disparities and COVID-19: the causal connectionsJan 7, 2022On robust risk-based active-learning algorithms for enhanced decision supportDec 11, 2021A Sparse Expansion For Deep Gaussian ProcessesDec 9, 2021A New Measure of Model Redundancy for Compressed Convolutional Neural NetworksDec 5, 2021Training Structured Neural Networks Through Manifold Identification and Variance Reduction