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91 Results
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Poster
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Wed 16:30 |
Near-Optimality of Contrastive Divergence Algorithms Pierre Glaser · Kevin Han Huang · Arthur Gretton |
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Poster
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Wed 11:00 |
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning Riccardo Poiani · Curti Gabriele · Alberto Maria Metelli · Marcello Restelli |
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Poster
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Wed 16:30 |
Nearly Optimal Approximation of Matrix Functions by the Lanczos Method Noah Amsel · Tyler Chen · Anne Greenbaum · Cameron Musco · Christopher Musco |
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Poster
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Wed 11:00 |
The Many Faces of Optimal Weak-to-Strong Learning Mikael Møller Høgsgaard · Kasper Green Larsen · Markus Engelund Mathiasen |
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Poster
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Fri 11:00 |
Implicit Optimization Bias of Next-token Prediction in Linear Models Christos Thrampoulidis |
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Poster
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Wed 16:30 |
Learning from Noisy Labels via Conditional Distributionally Robust Optimization Hui GUO · Grace Yi · Boyu Wang |
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Poster
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Wed 11:00 |
Optimal Parallelization of Boosting Arthur da Cunha · Mikael Møller Høgsgaard · Kasper Green Larsen |
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Poster
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Wed 16:30 |
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games Zhiyuan Fan · Christian Kroer · Gabriele Farina |
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Oral
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Wed 10:20 |
Optimal Parallelization of Boosting Arthur da Cunha · Mikael Møller Høgsgaard · Kasper Green Larsen |
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Oral Session
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Wed 10:00 |
Oral Session 1C: Optimization and Learning Theory |
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Workshop
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Continuous-Time Analysis of Adaptive Optimization and Normalization Rhys Gould · Hidenori Tanaka |
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Poster
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Thu 16:30 |
How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization? Jun Chen · Hong Chen · Bin Gu |