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Workshop
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Sat 15:45
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Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection
Giorgos Iacovides · Wuyang Zhou · Danilo Mandic
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Workshop
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MPLoRA: Orthogonal Multi-Path Low-Rank Adaptation for Parameter Efficient Fine-Tuning
Junhan Shi · Fulin Wang · Qing Li · Yong Jiang
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Poster
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Fri 16:30
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How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression
Xingwu Chen · Lei Zhao · Difan Zou
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Poster
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Wed 11:00
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On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
Shinji Ito
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Workshop
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Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time
Yingyu Liang · Zhizhou Sha · Zhenmei Shi · Zhao Song · Yufa Zhou
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Poster
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Wed 11:00
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Linear Causal Representation Learning from Unknown Multi-node Interventions
Burak Varıcı · Emre Acartürk · Karthikeyan Shanmugam · Ali Tajer
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Poster
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Wed 11:00
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Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
Xinyi HU · Jasper Lee · Jimmy Lee · Peter Stuckey
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Poster
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Thu 16:30
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BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
Fangyikang Wang · Hubery Yin · Yue-Jiang Dong · Huminhao Zhu · zhang chao · Hanbin Zhao · Hui Qian · Chen Li
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Workshop
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CopRA: A Progressive LoRA Training Strategy
Zhan Zhuang · XIEQUN WANG · Yulong Zhang · Wei Li · Yu Zhang · Ying Wei
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Poster
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Fri 16:30
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SGD vs GD: Rank Deficiency in Linear Networks
Aditya Vardhan Varre · Margarita Sagitova · Nicolas Flammarion
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