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11 Results
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Poster
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Thu 11:00 |
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning Aneesh Muppidi · Zhiyu Zhang · Heng Yang |
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Poster
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Thu 16:30 |
Parameter-free Clipped Gradient Descent Meets Polyak Yuki Takezawa · Han Bao · Ryoma Sato · Kenta Niwa · Makoto Yamada |
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Poster
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Thu 16:30 |
Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization Ilya Kuruzov · Gesualdo Scutari · Alexander Gasnikov |
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Poster
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Learnability of high-dimensional targets by two-parameter models and gradient flow Dmitry Yarotsky |
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Workshop
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OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters Zexin Chen · Chengxi Li · Xiangyu Xie · Parijat Dube |
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Poster
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Fri 11:00 |
Sparse maximal update parameterization: A holistic approach to sparse training dynamics Nolan Dey · Shane Bergsma · Joel Hestness |
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Poster
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Thu 11:00 |
Improving Deep Learning Optimization through Constrained Parameter Regularization Jörg Franke · Michael Hefenbrock · Gregor Koehler · Frank Hutter |
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Poster
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Flatten Anything: Unsupervised Neural Surface Parameterization Qijian Zhang · Junhui Hou · Wenping Wang · Ying He |
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Poster
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Wed 16:30 |
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models Qijun Luo · Hengxu Yu · Xiao Li |
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Workshop
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Optimizing the IFMIF-DONES Particle Accelerator with Differentiable Deep Learning Surrogate Models Galo Gallardo · Guillermo Rodriguez Llorente · Lucas Magariños · Rodrigo Morant Navascués · Nikita Kkhvatkin Petrovsky · Roberto Gómez-Espinosa Martín |
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Workshop
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If optimizing for general parameters in chemistry is useful, why is it hardly done? Stefan P. Schmid · Ella Miray Rajaonson · Cher-Tian Ser · Mohammad Haddadnia · Shi Xuan Leong · Alan Aspuru-Guzik · Agustinus Kristiadi · Kjell Jorner · Felix Strieth-Kalthoff |