Workshop

Fri 6:30

Efficient Second-Order Stochastic Methods for Machine Learning
Donald Goldfarb

Workshop

DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang · Jiang Bo · Chang He · Yuntian Jiang · Dongdong Ge · Yinyu Ye

Workshop

Fri 9:00

DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang

Workshop

FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences
Artem Agafonov · Brahim Erraji · Martin Takac

Poster

Tue 14:00

Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
Kimon Antonakopoulos · Ali Kavis · Volkan Cevher

Poster

Thu 9:00

Better SGD using Second-order Momentum
Hoang Tran · Ashok Cutkosky

Workshop

Late-Phase Second-Order Training
Lukas Tatzel · Philipp Hennig · Frank Schneider

Poster

Thu 14:00

Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse

Poster

Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
Luo Luo · Yujun Li · Cheng Chen

Workshop

A Second-order Regression Model Shows Edge of Stability Behavior
Fabian Pedregosa · Atish Agarwala · Jeffrey Pennington

Poster

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

Poster

Wed 14:00

Luckiness in Multiscale Online Learning
Wouter Koolen · Muriel F. Pérez-Ortiz