Poster

Thu 14:00

Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
Avinandan Bose · Arunesh Sinha · Tien Mai

Workshop

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

Workshop

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

Workshop

Fri 6:30

Efficient Second-Order Stochastic Methods for Machine Learning
Donald Goldfarb

Poster

Tue 14:00

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

Workshop

Fri 9:00

DRSOM: A Dimension Reduced Second-Order Method
Chuwen Zhang

Poster

Thu 9:00

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

Poster

Tue 14:00

Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data
Yuxuan Zhao · Alex Townsend · Madeleine Udell

Poster

Thu 9:00

Chaotic Dynamics are Intrinsic to Neural Network Training with SGD
Luis Herrmann · Maximilian Granz · Tim Landgraf

Workshop

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

Poster

Thu 14:00

A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree
Kaixun Hua · Jiayang Ren · Yankai Cao

Poster

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