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Workshop
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Sun 11:20
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Hiding in a Plain Sight: Out-of-Distribution Data in the Logit Space Embeddings
Vangjush Komini · Sarunas Girdzijauskas
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Poster
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Thu 16:30
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Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
Hao Zhang · Chenglin Li · Nuowen Kan · Ziyang Zheng · Wenrui Dai · Junni Zou · Hongkai Xiong
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Poster
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Thu 16:30
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Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
Jing Zhang · Linjiajie Fang · Kexin SHI · Wenjia Wang · Bingyi Jing
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Workshop
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Sat 10:54
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Entropic Distribution Matching for Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity
Ziniu Li · Congliang Chen · Tian Xu · Zeyu Qin · Jiancong Xiao · Ruoyu Sun · Zhiquan Luo
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Workshop
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Distributionally robust self-supervised learning for tabular data
Shantanu Ghosh · Tiankang Xie · Mikhail Kuznetsov
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Workshop
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Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties
Keunwoo P Yu · Zheyuan Zhang · Fengyuan Hu · Shane Storks · Joyce Chai
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Poster
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Wed 16:30
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B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data
Runze You · Shi Pu
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Poster
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Thu 16:30
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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
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Poster
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Fri 11:00
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A Bayesian Approach to Data Point Selection
XINNUO XU · Minyoung Kim · Royson Lee · Brais Martinez · Timothy Hospedales
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Poster
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Fri 11:00
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Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms
Miao Lu · Han Zhong · Tong Zhang · Jose Blanchet
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Workshop
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Carbon-Aware Spatio-Temporal Workload Distribution in Cloud Data Center Clusters Using Reinforcement Learning
Soumyendu Sarkar · Antonio Guillen-Perez · Vineet Gundecha · Avisek Naug · Ricardo Luna Gutierrez · Sajad Mousavi
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Poster
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Fri 16:30
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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
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