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Workshop
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Fri 6:30
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Efficient Second-Order Stochastic Methods for Machine Learning
Donald Goldfarb
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Workshop
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DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang · Jiang Bo · Chang He · Yuntian Jiang · Dongdong Ge · Yinyu Ye
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Workshop
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Fri 9:00
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DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang
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Workshop
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FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences
Artem Agafonov · Brahim Erraji · Martin Takac
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Poster
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Tue 14:00
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Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Kimon Antonakopoulos · Ali Kavis · Volkan Cevher
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Poster
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Thu 9:00
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Better SGD using Second-order Momentum
Hoang Tran · Ashok Cutkosky
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Workshop
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Late-Phase Second-Order Training
Lukas Tatzel · Philipp Hennig · Frank Schneider
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Poster
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Thu 14:00
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Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse
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Poster
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Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
Luo Luo · Yujun Li · Cheng Chen
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Workshop
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A Second-order Regression Model Shows Edge of Stability Behavior
Fabian Pedregosa · Atish Agarwala · Jeffrey Pennington
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Poster
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Tue 9:00
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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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Wed 14:00
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Luckiness in Multiscale Online Learning
Wouter Koolen · Muriel F. Pérez-Ortiz
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