Showing 101–120 of 153 results
/ Date/ Name
Jul 20, 2020An Empirical Characterization of Fair Machine Learning For Clinical Risk PredictionJun 15, 2020Deep Autoencoding Topic Model with Scalable Hybrid Bayesian InferenceJun 2, 2020Two Robust Tools for Inference about Causal Effects with Invalid InstrumentsMay 16, 2020Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesMay 2, 2020Online Learning and Optimization for Revenue Management Problems with Add-on DiscountsApr 23, 2020Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description updateMar 24, 2020TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes ApplicationsMar 24, 2020Recovery command generation towards automatic recovery in ICT systems by Seq2Seq learningMar 4, 2020Application of Deep Neural Networks to assess corporate Credit RatingJan 29, 2020Reducing complexity and unidentifiability when modelling human atrial cellsJan 13, 2020Considering discrepancy when calibrating a mechanistic electrophysiology modelSep 20, 2019Biased Encouragements and Heterogeneous Effects in an Instrumental Variable Study of Emergency General Surgical OutcomesAug 29, 2019Targeted Source Detection for Environmental DataAug 1, 2019Max-Min Fairness Design for MIMO Interference Channels: a Minorization-Maximization ApproachJul 18, 2019A Systematic Approach to Detect Hierarchical Healthcare Cost Drivers and Interpretable Change PatternsJul 8, 2019Surrogate modeling of indoor down-link human exposure based on sparse polynomial chaos expansionJan 30, 2019Mapping malaria seasonality: a case study from MadagascarJan 26, 2019Volatility Models Applied to Geophysics and High Frequency Financial Market DataJan 7, 2019Patterns of Effects and Sensitivity Analysis for Differences-in-DifferencesJul 13, 2018Probabilistic Re-aggregation Algorithm [First Draft]