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Poster
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Wed 14:00
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Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables
Yi-Shan Wu · Yevgeny Seldin
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Workshop
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Probabilistically Robust PAC Learning
Vinod Raman · Ambuj Tewari · UNIQUE SUBEDI
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Poster
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Thu 9:00
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A Characterization of Semi-Supervised Adversarially Robust PAC Learnability
Idan Attias · Steve Hanneke · Yishay Mansour
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Workshop
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Adversarial Robustness of Deep Inverse Reinforcement Learning
Ezgi Korkmaz
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Poster
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Wed 14:00
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Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness
Fredrik Hellström · Giuseppe Durisi
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Poster
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Tue 14:00
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Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization
Omar Montasser · Steve Hanneke · Nati Srebro
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Poster
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Thu 14:00
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PAC Prediction Sets for Meta-Learning
Sangdon Park · Edgar Dobriban · Insup Lee · Osbert Bastani
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Workshop
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Spectral Robustness Analysis of Deep Imitation Learning
Ezgi Korkmaz
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Competition
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Thu 4:50
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Transfer Learning Award: Team SI Analytics - Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal Shift
Yeji Choi
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Poster
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Wed 14:00
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Fairness-Aware PAC Learning from Corrupted Data
Nikola Konstantinov · Christoph Lampert
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Poster
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Thu 14:00
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A New Family of Generalization Bounds Using Samplewise Evaluated CMI
Fredrik Hellström · Giuseppe Durisi
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Workshop
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Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
Fu Wang · Yanghao Zhang · Wenjie Ruan · Yanbin Zheng
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