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Workshop
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Fri 9:30
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Cubic Regularized Quasi-Newton Methods
Klea Ziu
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Workshop
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Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation
Rustem Islamov · Xun Qian · Slavomír Hanzely · Mher Safaryan · Peter Richtarik
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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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Workshop
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Cubic Regularized Quasi-Newton Methods
Dmitry Kamzolov · Klea Ziu · Artem Agafonov · Martin Takac
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Workshop
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Random-subspace adaptive cubic regularisation method for nonconvex optimisation
Coralia Cartis · Zhen Shao
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Poster
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Quasi-Newton Methods for Saddle Point Problems
Chengchang Liu · Luo Luo
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Workshop
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Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models
Qiujiang Jin · Aryan Mokhtari · Nhat Ho · Tongzheng Ren
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Workshop
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Stochastic Adaptive Regularization Method with Cubics: A High Probability Complexity Bound
Katya Scheinberg · Miaolan Xie
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Poster
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Wed 9:00
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Free Probability for predicting the performance of feed-forward fully connected neural networks
Reda CHHAIBI · Tariq Daouda · Ezechiel Kahn
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Poster
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Wed 9:00
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A Damped Newton Method Achieves Global O(1k2) and Local Quadratic Convergence Rate
Slavomír Hanzely · Dmitry Kamzolov · Dmitry Pasechnyuk · Alexander Gasnikov · Peter Richtarik · Martin Takac
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Poster
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Thu 9:00
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Optimal and Adaptive Monteiro-Svaiter Acceleration
Yair Carmon · Danielle Hausler · Arun Jambulapati · Yujia Jin · Aaron Sidford
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