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Poster
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Tue 14:00 |
An Optimal Reduction of TV-Denoising to Adaptive Online Learning Dheeraj Baby · Xuandong Zhao · Yu-Xiang Wang |
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Poster
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Thu 7:30 |
Revisiting Projection-free Online Learning: the Strongly Convex Case Ben Kretzu · Dan Garber |
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Poster
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Thu 7:30 |
Online Sparse Reinforcement Learning Botao Hao · Tor Lattimore · Csaba Szepesvari · Mengdi Wang |
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Poster
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Tue 14:00 |
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling QIN DING · Cho-Jui Hsieh · James Sharpnack |
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Poster
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Wed 6:00 |
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size Alain Durmus · Pablo Jiménez · Eric Moulines · Salem SAID |
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Poster
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Tue 14:00 |
Differentially Private Online Submodular Maximization Sebastian Perez-Salazar · Rachel Cummings |
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Poster
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Wed 12:45 |
Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries Steve Hanneke · Liu Yang |
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Oral
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Thu 15:30 |
Misspecification in Prediction Problems and Robustness via Improper Learning Annie Marsden · John Duchi · Gregory Valiant |
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Poster
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Tue 14:00 |
Active Online Learning with Hidden Shifting Domains Yining Chen · Haipeng Luo · Tengyu Ma · Chicheng Zhang |
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Poster
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Wed 12:45 |
Power of Hints for Online Learning with Movement Costs Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit |
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Poster
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Wed 6:00 |
The Sample Complexity of Level Set Approximation Francois Bachoc · Tommaso Cesari · Sébastien Gerchinovitz |
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Poster
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Tue 14:00 |
Online Model Selection for Reinforcement Learning with Function Approximation Jonathan Lee · Aldo Pacchiano · Vidya Muthukumar · Weihao Kong · Emma Brunskill |