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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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Poster
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Tue 17:00
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Constrained Efficient Global Optimization of Expensive Black-box Functions
Wenjie Xu · Yuning Jiang · Bratislav Svetozarevic · Colin Jones
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Poster
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Thu 13:30
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Generative Pretraining for Black-Box Optimization
Satvik Mehul Mashkaria · Siddarth Krishnamoorthy · Aditya Grover
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Workshop
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Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
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Workshop
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Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
Ashish Hooda · Neal Mangaokar · Ryan Feng · Kassem Fawaz · Somesh Jha · Atul Prakash
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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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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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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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Poster
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Thu 16:30
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Improved Algorithms for White-Box Adversarial Streams
Ying Feng · David Woodruff
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Workshop
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Introducing Vision into Large Language Models Expands Attack Surfaces and Failure Implications
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