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Poster
Wed 12:45
Learning Prediction Intervals for Regression: Generalization and Calibration
Haoxian Chen · Ziyi Huang · Henry Lam · Huajie Qian · Haofeng Zhang
Poster
Tue 14:00
Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration
Shengjia Zhao · Stefano Ermon
Poster
Wed 6:00
Collaborative Classification from Noisy Labels
Lucas Maystre · Nagarjuna Kumarappan · Judith Bütepage · Mounia Lalmas
Poster
Thu 7:30
Variational Autoencoder with Learned Latent Structure
Marissa Connor · Gregory Canal · Christopher Rozell
Oral
Thu 15:30
Misspecification in Prediction Problems and Robustness via Improper Learning
Annie Marsden · John Duchi · Gregory Valiant
Poster
Thu 7:30
Learning User Preferences in Non-Stationary Environments
Wasim Huleihel · Soumyabrata Pal · Ofer Shayevitz
Poster
Wed 6:00
Predictive Complexity Priors
Eric Nalisnick · Jonathan Gordon · Jose Miguel Hernandez-Lobato
Poster
Tue 18:30
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
Chaoqi Wang · Shengyang Sun · Roger Grosse
Poster
Tue 18:30
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
Yue Xing · Qifan Song · Guang Cheng
Poster
Tue 14:00
Misspecification in Prediction Problems and Robustness via Improper Learning
Annie Marsden · John Duchi · Gregory Valiant
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