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Poster
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Wed 2:30 |
Finding Actual Descent Directions for Adversarial Training Fabian Latorre · Igor Krawczuk · Leello Dadi · Thomas Pethick · Volkan Cevher |
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Poster
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Mon 2:30 |
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data Michael Crawshaw · Yajie Bao · Mingrui Liu |
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Workshop
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Thu 8:57 |
Spotlight Session 3: "Emission-Constrained Optimization of Gas Systems with Input-Convex Neural Networks" Vladimir Dvorkin · Samuel Chevalier · Spyros Chatzivasileiadis |
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Poster
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Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization Jun-Kun Wang · Andre Wibisono |
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Workshop
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Emission-Constrained Optimization of Gas Systems with Input-Convex Neural Networks Vladimir Dvorkin · Samuel Chevalier · Spyros Chatzivasileiadis |
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Poster
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Restricted Strong Convexity of Deep Learning Models with Smooth Activations Arindam Banerjee · Pedro Cisneros-Velarde · Libin Zhu · Misha Belkin |
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Poster
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Tue 7:30 |
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses Andrew Lowy · Meisam Razaviyayn |
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Poster
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Wed 2:30 |
Measuring Forgetting of Memorized Training Examples Matthew Jagielski · Om Thakkar · Florian Tramer · Daphne Ippolito · Katherine Lee · Nicholas Carlini · Eric Wallace · Shuang Song · Abhradeep Guha Thakurta · Nicolas Papernot · Chiyuan Zhang |
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Poster
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Wed 7:30 |
Automating Nearest Neighbor Search Configuration with Constrained Optimization Philip Sun · Ruiqi Guo · Sanjiv Kumar |
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Poster
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On amortizing convex conjugates for optimal transport Brandon Amos |
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Oral
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Tue 6:10 |
SAM as an Optimal Relaxation of Bayes Thomas Möllenhoff · Mohammad Emtiyaz Khan |
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Poster
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Tue 7:30 |
Approximate Vanishing Ideal Computations at Scale Elias Wirth · Hiroshi Kera · Sebastian Pokutta |