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Poster
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Tue 14:00
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Value Function Decomposition for Iterative Design of Reinforcement Learning Agents
James MacGlashan · Evan Archer · Alisa Devlic · Takuma Seno · Craig Sherstan · Peter Wurman · Peter Stone
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Workshop
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Honesty as the Primary Design Guidelineof Machine Learning User Interfaces
Claudio Pinhanez
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Workshop
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Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation
Raghul Parthipan · Damon Wischik
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Workshop
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Fri 9:09
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Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation
Raghul Parthipan · Damon Wischik
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Workshop
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Machine Learning Explainability from an Information-theoretic Perspective
Debargha Ganguly · Debayan Gupta
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Poster
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Wed 9:00
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Neural Basis Models for Interpretability
Filip Radenovic · Abhimanyu Dubey · Dhruv Mahajan
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Poster
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Wed 14:00
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Scalable Interpretability via Polynomials
Abhimanyu Dubey · Filip Radenovic · Dhruv Mahajan
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Poster
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Wed 9:00
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On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
Dennis Wei · Rahul Nair · Amit Dhurandhar · Kush Varshney · Elizabeth Daly · Moninder Singh
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Poster
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Tue 14:00
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Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
Paul Novello · Thomas FEL · David Vigouroux
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Workshop
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TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
Dylan Slack · Satyapriya Krishna · Himabindu Lakkaraju · Sameer Singh
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Workshop
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Beyond Decision Recommendations: Stop Putting Machine Learning First and Design Human-Centered AI for Decision Support
Zana Bucinca · Alexandra Chouldechova · Jennifer Wortman Vaughan · Krzysztof Z Gajos
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Poster
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Tue 9:00
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Distinguishing Learning Rules with Brain Machine Interfaces
Jacob Portes · Christian Schmid · James M Murray
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