Poster

Tue 9:00

Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
Abhishek Roy · Krishnakumar Balasubramanian · Saeed Ghadimi

Poster

Tue 14:00

A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi

Poster

Tue 14:00

Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Lior Danon · Dan Garber

Poster

[Re] Projection-based Algorithm for Updating the TruncatedSVD of Evolving Matrices
Andy Chen · Shion Matsumoto · Rohan Sinha Varma

Poster

Tue 14:00

FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou · Ziqing MA · xue wang · Qingsong Wen · Liang Sun · Tao Yao · Wotao Yin · Rong Jin

Poster

Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness
Shiyun Lin · Yuze Han · Xiang Li · Zhihua Zhang

Poster

Wed 14:00

Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection
Wael Alghamdi · Hsiang Hsu · Haewon Jeong · Hao Wang · Peter Michalak · Shahab Asoodeh · Flavio Calmon

Poster

Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
Jing Xu · Xu Luo · Xinglin Pan · Yanan Li · Wenjie Pei · Zenglin Xu

Poster

Thu 9:00

Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems
Jan Harold Alcantara · Ching-pei Lee

Poster

Tue 14:00

Efficient Methods for Non-stationary Online Learning
Peng Zhao · Yan-Feng Xie · Lijun Zhang · Zhi-Hua Zhou

Poster

Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective
Jiadong Liang · Yuze Han · Xiang Li · Zhihua Zhang

Poster

Tue 9:00

Optimal Transport of Classifiers to Fairness
Maarten Buyl · Tijl De Bie