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Poster
Fri 11:00 SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization
Qian Chen · Tianjian Zhang · Linxin Yang · Qingyu Han · Akang Wang · Ruoyu Sun · Xiaodong Luo · Tsung-Hui Chang
Poster
Thu 16:30 Accelerating Non-Maximum Suppression: A Graph Theory Perspective
King-Siong Si · Lu Sun · Weizhan Zhang · Tieliang Gong · Jiahao Wang · Jiang Liu · Hao Sun
Workshop
Learning from Less: Bayesian Neural Networks for Optimization Proxy using Limited Labeled Data
Parikshit Pareek · Kaarthik Sundar · Deep Deka · Sidhant Misra
Workshop
Bayesian Optimal Experimental Design of Streaming Data Incorporating Machine Learning Generated Synthetic Data
Kentaro Hoffman · Tyler H. McCormick
Poster
Fri 16:30 Geodesic Optimization for Predictive Shift Adaptation on EEG data
Apolline Mellot · Antoine Collas · Sylvain Chevallier · Alex Gramfort · Denis Engemann
Poster
Fri 16:30 HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links
Haizhou Du · Yijian Chen · Ryan Yang · Yuchen Li · Linghe Kong
Poster
Thu 16:30 Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models
Hanxiao Zhang · Lin JU · Chan Wu · Jinjing Huang · Youshao Xiao · Zhenglei Zhou · Zhiming fan · Zhaoxin Huan · Siyuan Li · Fanzhuang Meng · Lei Liang · Xiaolu Zhang · Jun Zhou