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