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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