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Workshop
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Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks
Xinmeng Huang · Kun Yuan
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Workshop
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TiAda: A Time-scale Adaptive Algorithm For Nonconvex Minimax Optimization
Xiang Li · Junchi YANG · Niao He
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Workshop
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TiAda: A Time-scale Adaptive Algorithm For Nonconvex Minimax Optimization
Xiang Li · Junchi YANG · Niao He
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Workshop
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Time-aware Bayesian optimization for adaptive particle accelerator tuning
Nikita Kuklev · Yine Sun · Hairong Shang · Michael Borland · Gregory Fystro
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Poster
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Thu 14:00
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PDSketch: Integrated Domain Programming, Learning, and Planning
Jiayuan Mao · Tomás Lozano-Pérez · Josh Tenenbaum · Leslie Kaelbling
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Poster
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Wed 14:00
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When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint
Yoav S Freund · Yi-An Ma · Tong Zhang
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Workshop
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Sat 12:00
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Zico Kolter, Adapt like you train: How optimization at training time affects model finetuning and adaptation
J. Zico Kolter
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Poster
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Thu 9:00
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Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
Vidhi Lalchand · Wessel Bruinsma · David Burt · Carl Edward Rasmussen
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Workshop
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SCOOTR: Single-Cell Multimodal Data Integration with Contrastive Learning and Optimal Transport
Federico Gossi · Pushpak Pati · Adriano Martinelli · Maria Anna Rapsomaniki
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Poster
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Thu 9:00
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SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration
Antoine Guedon · Pascal Monasse · Vincent Lepetit
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Poster
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Wed 9:00
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PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration
Xuan Li · Yadi Cao · Minchen Li · Yin Yang · Craig Schroeder · Chenfanfu Jiang
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Poster
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Wed 9:00
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Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
Tianyi Lin · Zeyu Zheng · Michael Jordan
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