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10 Results
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Poster
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Wed 14:00 |
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity Sally Dong · Haotian Jiang · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye |
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Poster
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Tue 14:00 |
Learning Mixed Multinomial Logits with Provable Guarantees Yiqun Hu · David Simchi-Levi · Zhenzhen Yan |
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Workshop
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Subject Level Differential Privacy with Hierarchical Gradient Averaging Virendra Marathe · Pallika Kanani · Daniel Peterson |
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Poster
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Tue 14:00 |
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi |
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Poster
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Tue 9:00 |
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions Saeed Masiha · Saber Salehkaleybar · Niao He · Negar Kiyavash · Patrick Thiran |
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Poster
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Thu 9:00 |
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions Damek Davis · Dmitriy Drusvyatskiy · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye |
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Poster
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Wed 9:00 |
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness Avrim Blum · Omar Montasser · Greg Shakhnarovich · Hongyang Zhang |
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Poster
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Wed 9:00 |
Reproducibility in Optimization: Theoretical Framework and Limits Kwangjun Ahn · Prateek Jain · Ziwei Ji · Satyen Kale · Praneeth Netrapalli · Gil I Shamir |
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Poster
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Wed 9:00 |
Distributionally Robust Optimization via Ball Oracle Acceleration Yair Carmon · Danielle Hausler |
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Poster
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Thu 9:00 |
Optimal and Adaptive Monteiro-Svaiter Acceleration Yair Carmon · Danielle Hausler · Arun Jambulapati · Yujia Jin · Aaron Sidford |