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Spotlight
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Tue 13:30
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Understanding the unstable convergence of gradient descent
Kwangjun Ahn · Jingzhao Zhang · Suvrit Sra
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Poster
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Wed 15:30
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Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Zi-Hao Qiu · Quanqi Hu · Yongjian Zhong · Lijun Zhang · Tianbao Yang
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Spotlight
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Tue 8:05
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Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
Arda Sahiner · Tolga Ergen · Batu M Ozturkler · John Pauly · Morteza Mardani · Mert Pilanci
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Poster
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Tue 15:30
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Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers
Arda Sahiner · Tolga Ergen · Batu M Ozturkler · John Pauly · Morteza Mardani · Mert Pilanci
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Spotlight
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Wed 13:45
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Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
Zi-Hao Qiu · Quanqi Hu · Yongjian Zhong · Lijun Zhang · Tianbao Yang
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Poster
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Thu 15:00
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Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
Rahul Mazumder · Xiang Meng · Haoyue Wang
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Spotlight
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Thu 7:55
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Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
Rahul Mazumder · Xiang Meng · Haoyue Wang
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Oral
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Thu 13:00
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Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
Giuseppe Bruno De Luca · Eva Silverstein
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Poster
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Thu 15:00
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Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
Giuseppe Bruno De Luca · Eva Silverstein
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Poster
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Thu 15:00
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A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
xinwei zhang · Mingyi Hong · Sairaj Dhople · Nicola Elia
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Spotlight
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Thu 13:45
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A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
xinwei zhang · Mingyi Hong · Sairaj Dhople · Nicola Elia
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Spotlight
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Thu 10:35
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Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
Zhuoning Yuan · Yuexin Wu · Zi-Hao Qiu · Xianzhi Du · Lijun Zhang · Denny Zhou · Tianbao Yang
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