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Poster
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Predictor-corrector algorithms for stochastic optimization under gradual distribution shift
Subha Maity · Debarghya Mukherjee · Moulinath Banerjee · Yuekai Sun
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Poster
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Wed 2:30
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Learning with Logical Constraints but without Shortcut Satisfaction
Zenan Li · Zehua Liu · Yuan Yao · Jingwei Xu · Taolue Chen · Xiaoxing Ma · Jian Lu
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Poster
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Wed 7:30
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Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
Daehee Park · Hobin Ryu · Yunseo Yang · Jegyeong Cho · Jiwon Kim · Kuk-Jin Yoon
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Poster
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Tue 2:30
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Revisiting Robustness in Graph Machine Learning
Lukas Gosch · Daniel Sturm · Simon Geisler · Stephan Günnemann
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Poster
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Stochastic No-regret Learning for General Games with Variance Reduction
Yichi Zhou · Fang Kong · Shuai Li
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Poster
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Stochastic Multi-Person 3D Motion Forecasting
Sirui Xu · Yu-Xiong Wang · Liangyan Gui
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Poster
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Mon 7:30
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Decoupled Training for Long-Tailed Classification With Stochastic Representations
Giung Nam · Sunguk Jang · Juho Lee
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Poster
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Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
Mingjie Li · Yifei Wang · Yisen Wang · Zhouchen Lin
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Poster
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SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
Jingdong Zhang · Qunxi Zhu · Wei Yang · Wei Lin
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Poster
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Tue 7:30
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Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses
Andrew Lowy · Meisam Razaviyayn
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Oral
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Wed 1:50
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Learning with Logical Constraints but without Shortcut Satisfaction
Zenan Li · Zehua Liu · Yuan Yao · Jingwei Xu · Taolue Chen · Xiaoxing Ma · Jian Lu
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