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Workshop
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Fri 14:10
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Regression on Latent Spaces for the Analysis of Multi-Condition Single-Cell RNA-Seq Data
Constantin Ahlmann-Eltze · Wolfgang Huber
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Workshop
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Investigating minimizing the training set fill distance in machine learning regression
Paolo Climaco · Jochen Garcke
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Workshop
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Automated Detection of Interpretable Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery
Tong Liu · Patrick Lawlor · Lyle Ungar · Konrad Kording · Rahul Ladhania
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Workshop
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Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study
Yue Xing
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Workshop
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Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study
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Workshop
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The Challenge of Differentially Private Screening Rules
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Workshop
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Adaptive Principal Component Regression with Applications to Panel Data
Anish Agarwal · Keegan Harris · Justin Whitehouse · Steven Wu
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Workshop
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The Challenge of Differentially Private Screening Rules
Amol Khanna · Fred Lu · Edward Raff
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Workshop
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Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Benjamin Eyre · Elliot Creager · David Madras · Vardan Papyan · Richard Zemel
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Workshop
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Semi-supervised Ordinal Regression via Cumulative Link Models for Predicting In-Hospital Length-of-Stay
Alexander Lobo · Preetish Rath · Michael Hughes
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Workshop
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Characterizing Risk Regimes for Safe Deployment of Deep Regression Models
Jayaraman J. Thiagarajan · Vivek Narayanaswamy · Puja Trivedi · Rushil Anirudh
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Workshop
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Knowledge-Guided Additive Modeling For Supervised Regression
Yann Claes · Van Anh Huynh-Thu · Pierre Geurts
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