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