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18 Results
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Poster
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Thu 11:00 |
Dimension-free deterministic equivalents and scaling laws for random feature regression Leonardo Defilippis · Bruno Loureiro · Theodor Misiakiewicz |
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Poster
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Fri 16:30 |
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation Wooseong Cho · Taehyun Hwang · Joongkyu Lee · Min-hwan Oh |
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Poster
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Wed 11:00 |
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces Angeliki Kamoutsi · Peter Schmitt-Förster · Tobias Sutter · Volkan Cevher · John Lygeros |
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Poster
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Fri 11:00 |
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks Eszter Szekely · Lorenzo Bardone · Federica Gerace · Sebastian Goldt |
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Workshop
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Enhancing Multivariate Time Series Forecasting via Multi-Task Learning and Random Matrix Theory Romain Ilbert · Malik Tiomoko · Cosme Louart · Vasilii Feofanov · Themis Palpanas · Ievgen Redko |
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Poster
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Thu 16:30 |
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert · Malik Tiomoko · Cosme Louart · Ambroise Odonnat · Vasilii Feofanov · Themis Palpanas · Ievgen Redko |