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Poster
Wed 10:45 Verified Uncertainty Calibration
Ananya Kumar · Percy Liang · Tengyu Ma
Poster
Wed 10:45 Single-Model Uncertainties for Deep Learning
Nataša Tagasovska · David Lopez-Paz
Poster
Wed 10:45 Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
Muhammad Osama · Dave Zachariah · Peter Stoica
Poster
Wed 10:45 Computing Full Conformal Prediction Set with Approximate Homotopy
Eugene Ndiaye · Ichiro Takeuchi
Poster
Wed 10:45 Reliable training and estimation of variance networks
Nicki Skafte · Martin Jørgensen · Søren Hauberg
Poster
Wed 17:00 Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning
Gregory Farquhar · Shimon Whiteson · Jakob Foerster
Poster
Thu 10:45 Abstraction based Output Range Analysis for Neural Networks
Pavithra Prabhakar · Zahra Rahimi Afzal
Poster
Tue 17:30 Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song · Stefano Ermon
Poster
Tue 10:45 Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
Yihe Dong · Samuel Hopkins · Jerry Li
Poster
Wed 10:45 Direct Estimation of Differential Functional Graphical Models
Boxin Zhao · Y. Samuel Wang · Mladen Kolar
Poster
Tue 10:45 AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling
Bichuan Guo · Yuxing Han · Jiangtao Wen
Poster
Wed 10:45 Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
Raanan Rohekar · Yaniv Gurwicz · Shami Nisimov · Gal Novik