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Poster
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Tue 14:00
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Active Policy Improvement from Multiple Black-box Oracles
Xuefeng Liu · Takuma Yoneda · Chaoqi Wang · Matthew Walter · Yuxin Chen
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Poster
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Tue 17:00
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PromptBoosting: Black-Box Text Classification with Ten Forward Passes
Bairu Hou · Joe O'Connor · Jacob Andreas · Shiyu Chang · Yang Zhang
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Workshop
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Fri 15:15
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Iterative Machine Teaching for Black-box Markov Learners
Chaoqi Wang · Sandra Zilles · Adish Singla · Yuxin Chen
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Workshop
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Black-Box Batch Active Learning for Regression
Andreas Kirsch
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Workshop
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Scoring Black-Box Models for Adversarial Robustness
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Workshop
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Scoring Black-Box Models for Adversarial Robustness
Jian Vora · Pranay Reddy Samala
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Oral
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Thu 18:56
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Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
Kyurae Kim · Kaiwen Wu · Jisu Oh · Jacob Gardner
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Poster
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Tue 14:00
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Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
Kyurae Kim · Kaiwen Wu · Jisu Oh · Jacob Gardner
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Workshop
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Fri 17:00
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Invited talk: Alex Lang - How to get over your Black Box trust issues?
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Poster
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Tue 14:00
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Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!
Avik Pal · Alan Edelman · Christopher Rackauckas
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