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Poster
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Tue 14:00 |
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations. Neil Jethani · Mukund Sudarshan · Yindalon Aphinyanaphongs · Rajesh Ranganath |
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Poster
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Tue 14:00 |
Improving Classifier Confidence using Lossy Label-Invariant Transformations Sooyong Jang · Insup Lee · James Weimer |
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Poster
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Tue 14:00 |
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions Jiaxuan Wang · Jenna Wiens · Scott Lundberg |
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Poster
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Tue 14:00 |
Influence Decompositions For Neural Network Attribution Kyle Reing · Greg Ver Steeg · Aram Galstyan |
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Poster
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Thu 7:30 |
Online Sparse Reinforcement Learning Botao Hao · Tor Lattimore · Csaba Szepesvari · Mengdi Wang |
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Poster
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Thu 7:30 |
On Information Gain and Regret Bounds in Gaussian Process Bandits Sattar Vakili · Kia Khezeli · Victor Picheny |
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Poster
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Tue 18:30 |
Causal Modeling with Stochastic Confounders Thanh Vinh Vo · Pengfei Wei · Wicher Bergsma · Tze Yun Leong |