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Poster
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Tue 9:00
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CARD: Classification and Regression Diffusion Models
Xizewen Han · Huangjie Zheng · Mingyuan Zhou
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Poster
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Tue 14:00
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Robust Testing in High-Dimensional Sparse Models
Anand Jerry George · Clément L Canonne
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Workshop
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Minimax Optimal Fair Regression under Linear Model
Kazuto Fukuchi · Jun Sakuma
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Poster
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Thu 9:00
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Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution
Jianhao Ma · Salar Fattahi
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Workshop
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SymbolicGPT: A Generative Transformer Model for Symbolic Regression
Mojtaba Valipour · Bowen You · Maysum H Panju · Ali Ghodsi
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Poster
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Thu 9:00
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Locally Hierarchical Auto-Regressive Modeling for Image Generation
Tackgeun You · Saehoon Kim · Chiheon Kim · Doyup Lee · Bohyung Han
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Workshop
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Completing the Model Optimization Process by Correcting Patterns of Failure in Regression Tasks
Thomas Bonnier
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Workshop
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A Second-order Regression Model Shows Edge of Stability Behavior
Fabian Pedregosa · Atish Agarwala · Jeffrey Pennington
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Poster
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Measuring and Reducing Model Update Regression in Structured Prediction for NLP
Deng Cai · Elman Mansimov · Yi-An Lai · Yixuan Su · Lei Shu · Yi Zhang
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Poster
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Wed 14:00
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-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay
Kumar K Agrawal · Arnab Kumar Mondal · Arna Ghosh · Blake Richards
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Workshop
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Accelerating Federated Learning Through Attention on Local Model Updates
Parsa Assadi · Byung Hoon Ahn · Hadi Esmaeilzadeh
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Workshop
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Learning to Prioritize Planning Updates in Model-based Reinforcement Learning
Brad Burega · John Martin · Michael Bowling
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