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38 Results

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Poster
A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration
Siyuan Zhang · Linbo Xie
Poster
Thu 11:00 Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
Haoqi Yuan · Yuhui Fu · Feiyang Xie · Zongqing Lu
Workshop
Convergence of Distributed Adaptive Optimization with Local Updates
Ziheng Cheng · Margalit Glasgow
Workshop
Adaptive Representation of MOFs in Bayesian Optimization
Mahyar Rajabi Kochi · Negareh Mahboubi · Aseem Gill · Mohamad Moosavi
Poster
Thu 16:30 Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
Yifei Xia · Fangcheng Fu · Wentao Zhang · Jiawei Jiang · Bin CUI
Poster
Wed 16:30 Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits
Julien Zhou · Pierre Gaillard · Thibaud Rahier · Houssam Zenati · Julyan Arbel
Workshop
Continuous-Time Analysis of Adaptive Optimization and Normalization
Rhys Gould · Hidenori Tanaka
Poster
Thu 16:30 LoQT: Low-Rank Adapters for Quantized Pretraining
Sebastian Loeschcke · Mads Toftrup · Michael Kastoryano · Serge Belongie · Vésteinn Snæbjarnarson
Poster
Thu 16:30 Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Aaron Mishkin · Ahmed Khaled · Yuanhao Wang · Aaron Defazio · Robert Gower
Poster
Wed 11:00 Optimal and Approximate Adaptive Stochastic Quantization
Ran Ben-Basat · Yaniv Ben-Itzhak · Michael Mitzenmacher · Shay Vargaftik
Workshop
BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks
Amrutha Varshini Ramesh · Vignesh Ganapathiraman · Issam Hadj Laradji · Mark Schmidt
Poster
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
Wei Dong · Yuan Sun · Yiting Yang · Xing Zhang · Zhijun Lin · Qingsen Yan · Haokui Zhang · Peng Wang · Yang Yang · Hengtao Shen