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13 Results
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Poster
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Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments Mixue Xie · Shuang Li · Binhui Xie · Chi Liu · Jian Liang · Zixun Sun · Ke Feng · Chengwei Zhu |
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Poster
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Fri 11:00 |
Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments Wen-Bo Du · Tian Qin · Tian-Zuo Wang · Zhi-Hua Zhou |
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Workshop
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Bayesian Optimization over Bounded Domains with Beta Product Kernels Huy Hoang Nguyen · Han Zhou · Matthew Blaschko · Aleksei Tiulpin |
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Poster
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Thu 16:30 |
Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment Zhen-Yu Zhang · Zhiyu Xie · Huaxiu Yao · Masashi Sugiyama |
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Poster
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Wed 16:30 |
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization Mohammad Pedramfar · Vaneet Aggarwal |
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Poster
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Wed 16:30 |
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting Weiwei Ye · Songgaojun Deng · Qiaosha Zou · Ning Gui |
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Poster
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Thu 16:30 |
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability Ming Xiang · Stratis Ioannidis · Edmund Yeh · Carlee Joe-Wong · Lili Su |
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Poster
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Wed 16:30 |
MetaCURL: Non-stationary Concave Utility Reinforcement Learning Bianca Marin Moreno · Margaux Brégère · Pierre Gaillard · Nadia Oudjane |
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Poster
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Wed 11:00 |
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset Alexandre Galashov · Michalis Titsias · András György · Clare Lyle · Razvan Pascanu · Yee Whye Teh · Maneesh Sahani |
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Poster
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Thu 11:00 |
DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting Tao Dai · Beiliang Wu · Peiyuan Liu · Naiqi Li · Xue Yuerong · Shu-Tao Xia · Zexuan Zhu |
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Workshop
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Bayesian Online Non-Stationary Detection for Robust Reinforcement Learning Alexander Shmakov · Pankaj Rajak · Yuhao Feng · Wojciech Kowalinski · Fei Wang |
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Poster
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Wed 16:30 |
Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions Hideaki Kim |