9 Results

Poster	Wed 9:00	Free Probability for predicting the performance of feed-forward fully connected neural networks Reda CHHAIBI · Tariq Daouda · Ezechiel Kahn
Workshop		Distributed Newton-Type Methods with Communication Compression and Bernoulli Aggregation Rustem Islamov · Xun Qian · Slavomír Hanzely · Mher Safaryan · Peter Richtarik
Workshop	Fri 9:30	Cubic Regularized Quasi-Newton Methods Klea Ziu
Poster	Tue 14:00	Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods Kimon Antonakopoulos · Ali Kavis · Volkan Cevher
Workshop		Cubic Regularized Quasi-Newton Methods Dmitry Kamzolov · Klea Ziu · Artem Agafonov · Martin Takac
Poster		Quasi-Newton Methods for Saddle Point Problems Chengchang Liu · Luo Luo
Workshop		Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models Qiujiang Jin · Aryan Mokhtari · Nhat Ho · Tongzheng Ren
Poster	Wed 9:00	A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate Slavomír Hanzely · Dmitry Kamzolov · Dmitry Pasechnyuk · Alexander Gasnikov · Peter Richtarik · Martin Takac
Poster	Thu 9:00	Optimal and Adaptive Monteiro-Svaiter Acceleration Yair Carmon · Danielle Hausler · Arun Jambulapati · Yujia Jin · Aaron Sidford