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Poster
Tue 8:00 Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
Yun Yun Tsai · Pin-Yu Chen · Tsung-Yi Ho
Poster
Tue 8:00 AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real · Chen Liang · David So · Quoc Le
Workshop
Sat 13:20 "Machine learning-based design (of proteins, small molecules and beyond)"
Jennifer Listgarten
Poster
Thu 14:00 Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift
Alexander Chan · Ahmed Alaa · Zhaozhi Qian · Mihaela van der Schaar
Poster
Tue 8:00 NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Randy Ardywibowo · Shahin Boluki · Xinyu Gong · Zhangyang “Atlas” Wang · Xiaoning Qian
Poster
Tue 7:00 Zeno++: Robust Fully Asynchronous SGD
Cong Xie · Sanmi Koyejo · Indranil Gupta
Poster
Tue 11:00 Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
Amr Mohamed Alexandari · Anshul Kundaje · Avanti Shrikumar
Workshop
Fri 1:00 5th ICML Workshop on Human Interpretability in Machine Learning (WHI)
Adrian Weller · Alice Xiang · Amit Dhurandhar · Been Kim · Dennis Wei · Kush Varshney · Umang Bhatt
Poster
Wed 12:00 Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh
Tutorial
Mon 1:00 Machine Learning with Signal Processing
Arno Solin
Tutorial
Mon 5:00 Epidemiology and Machine Learning
Elaine Nsoesie
Poster
Tue 7:00 An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm
Christopher DeCarolis · Mukul A Ram · Seyed Esmaeili · Yu-Xiang Wang · Furong Huang