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Oral
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Fri 16:10
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MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
YUHONG CHOU · Man Yao · Kexin Wang · Yuqi Pan · Rui-Jie Zhu · Jibin Wu · Yiran Zhong · Yu Qiao · Bo Xu · Guoqi Li
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Expo Workshop
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Tue 12:00
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Accelerating Edge AI: Optimizing and Deploying AI Models with Qualcomm AI Hub
Ron Tindall
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Session
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Wed 10:00
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Overflow for Oral Session 1C: Optimization and Learning Theory
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Affinity Event
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Optimizing the Gabriel graph construction algorithm
Jose Geraldo Fernandes · Vitor Hanriot · Antonio de Padua Braga
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Poster
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Fri 16:30
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Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng · Allen Nie · Adith Swaminathan
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Affinity Event
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Variational Inequality Optimizers for Multi-Agent Reinforcement Learning
Baraah Adil Mohammed Sidahmed · Tatjana Chavdarova
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Poster
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Thu 16:30
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Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables
Hamid Mousavi · Jakob Drefs · Florian Hirschberger · Jörg Lücke
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Expo Demonstration
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Tue 15:00
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Trace: An LLM-powered End-to-end Optimization Framework of AI Workflow
Elaina Robinson · Ching-An Cheng
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Affinity Event
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Task-Graph and SAC-Based Meta-Learning for Optimized Robotic Task Transfer
Sofanit Wubeshet Beyene · Bizu Melesse Birru
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Affinity Event
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Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
Hyeonah Kim · Minsu Kim · Sanghyeok Choi · Jinkyoo Park
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Affinity Event
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Heart Disease Prediction: A Comparative Study of Optimizers Performance in Deep Neural Networks.
chisom chibuike · Adeyinka Ogunsanya
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Affinity Event
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Optimizing Cloud-Based Machine Learning Deployments
Kaustubha Vecham
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