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19 Results
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Poster
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Tue 14:00 |
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization Benjamin Dubois-Taine · Francis Bach · Quentin Berthet · Adrien Taylor |
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Poster
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Wed 14:00 |
Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization Zijie Zhang · Yang Zhou · Xin Zhao · Tianshi Che · Lingjuan Lyu |
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Poster
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Tue 14:00 |
Accelerating Certified Robustness Training via Knowledge Transfer Pratik Vaishnavi · Kevin Eykholt · Amir Rahmati |
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Poster
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Wed 14:00 |
(De-)Randomized Smoothing for Decision Stump Ensembles Miklós Horváth · Mark Müller · Marc Fischer · Martin Vechev |
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Poster
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Wed 14:00 |
Invariance-Aware Randomized Smoothing Certificates Jan Schuchardt · Stephan Günnemann |
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Poster
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Wed 9:00 |
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback Arya Akhavan · Evgenii Chzhen · Massimiliano Pontil · Alexandre Tsybakov |
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Poster
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Tue 9:00 |
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks Yan Scholten · Jan Schuchardt · Simon Geisler · Aleksandar Bojchevski · Stephan Günnemann |
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Poster
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Thu 14:00 |
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Pautov · Olesya Kuznetsova · Nurislam Tursynbek · Aleksandr Petiushko · Ivan Oseledets |
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Poster
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Wed 14:00 |
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization Aniket Das · Bernhard Schölkopf · Michael Muehlebach |
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Poster
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Thu 9:00 |
Automatic Differentiation of Programs with Discrete Randomness Gaurav Arya · Moritz Schauer · Frank Schäfer · Christopher Rackauckas |
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Poster
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Wed 9:00 |
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization Tianyi Lin · Zeyu Zheng · Michael Jordan |
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Poster
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Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques Bokun Wang · Mher Safaryan · Peter Richtarik |