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21 Results
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Poster
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Wed 14:00 |
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables Yi-Shan Wu · Yevgeny Seldin |
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Poster
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Wed 14:00 |
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness Fredrik Hellström · Giuseppe Durisi |
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Poster
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Thu 14:00 |
PAC Prediction Sets for Meta-Learning Sangdon Park · Edgar Dobriban · Insup Lee · Osbert Bastani |
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Poster
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Wed 14:00 |
Fairness-Aware PAC Learning from Corrupted Data Nikola Konstantinov · Christoph Lampert |
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Poster
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Thu 14:00 |
A New Family of Generalization Bounds Using Samplewise Evaluated CMI Fredrik Hellström · Giuseppe Durisi |
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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 14:00 |
Integral Probability Metrics PAC-Bayes Bounds Ron Amit · Baruch Epstein · Shay Moran · Ron Meir |
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Poster
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Thu 9:00 |
A Characterization of Semi-Supervised Adversarially Robust PAC Learnability Idan Attias · Steve Hanneke · Yishay Mansour |
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Poster
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Tue 9:00 |
A Theory of PAC Learnability under Transformation Invariances Han Shao · Omar Montasser · Avrim Blum |
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Poster
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Wed 9:00 |
On Margins and Generalisation for Voting Classifiers Felix Biggs · Valentina Zantedeschi · Benjamin Guedj |
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Poster
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Tue 14:00 |
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes Alkis Kalavasis · Grigoris Velegkas · Amin Karbasi |
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Poster
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Wed 14:00 |
Instance-optimal PAC Algorithms for Contextual Bandits Zhaoqi Li · Lillian Ratliff · houssam nassif · Kevin Jamieson · Lalit Jain |