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Poster
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Fri 16:30
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Robust Fine-tuning of Zero-shot Models via Variance Reduction
Beier Zhu · Jiequan Cui · Hanwang Zhang
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Poster
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Fri 11:00
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Navigating the Effect of Parametrization for Dimensionality Reduction
Haiyang Huang · Yingfan Wang · Cynthia Rudin
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Poster
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Fri 11:00
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BMRS: Bayesian Model Reduction for Structured Pruning
Dustin Wright · Christian Igel · Raghavendra Selvan
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Poster
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Wed 11:00
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Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions
Hilal Asi · Daogao Liu · Kevin Tian
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Poster
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Fri 11:00
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DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
Xinwei Zhang · Zhiqi Bu · Mingyi Hong · Meisam Razaviyayn
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Poster
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Wed 11:00
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Distributed Least Squares in Small Space via Sketching and Bias Reduction
Sachin Garg · Kevin Tan · Michal Derezinski
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Poster
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Thu 11:00
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Color-Oriented Redundancy Reduction in Dataset Distillation
Bowen Yuan · Zijian Wang · Mahsa Baktashmotlagh · Yadan Luo · Zi Huang
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Poster
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Fri 11:00
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Contrastive dimension reduction: when and how?
Sam Hawke · YueEn Ma · Didong Li
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Poster
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Fri 11:00
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Parametric model reduction of mean-field and stochastic systems via higher-order action matching
Jules Berman · Tobias Blickhan · Benjamin Peherstorfer
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Poster
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Thu 16:30
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FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
Ziwei Li · Xiaoqi Wang · Hong-You Chen · Han Wei Shen · Wei-Lun (Harry) Chao
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Poster
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Thu 11:00
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LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS
Zhiwen Fan · Kevin Wang · Kairun Wen · Zehao Zhu · Dejia Xu · Zhangyang "Atlas" Wang
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Affinity Event
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Improving Harm Reduction Tactics for a Multimodal Software Solution
Lucia Berger
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