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Poster
Tue 14:00 Algorithms for Fairness in Sequential Decision Making
Min Wen · Osbert Bastani · Ufuk Topcu
Poster
Tue 14:00 No-Regret Algorithms for Private Gaussian Process Bandit Optimization
Abhimanyu Dubey
Poster
Tue 14:00 Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration
Shengjia Zhao · Stefano Ermon
Poster
Tue 14:00 Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
Jiaxuan Wang · Jenna Wiens · Scott Lundberg
Poster
Tue 14:00 Differentially Private Online Submodular Maximization
Sebastian Perez-Salazar · Rachel Cummings
Poster
Tue 14:00 Density of States Estimation for Out of Distribution Detection
Warren Morningstar · Cusuh Ham · Andrew Gallagher · Balaji Lakshminarayanan · Alex Alemi · Joshua Dillon
Poster
Tue 14:00 Influence Decompositions For Neural Network Attribution
Kyle Reing · Greg Ver Steeg · Aram Galstyan
Poster
Tue 14:00 Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
Chong Liu · Yuqing Zhu · Kamalika Chaudhuri · Yu-Xiang Wang
Poster
Tue 14:00 Competing AI: How does competition feedback affect machine learning?
Tony Ginart · Eva Zhang · Yongchan Kwon · James Zou
Poster
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
Poster
Tue 14:00 Differentially Private Weighted Sampling
Edith Cohen · Ofir Geri · Tamas Sarlos · Uri Stemmer
Poster
Tue 14:00 Improving Classifier Confidence using Lossy Label-Invariant Transformations
Sooyong Jang · Insup Lee · James Weimer