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Poster
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Wed 14:00
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Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget
Jasmin Brandt · Viktor Bengs · Björn Haddenhorst · Eyke Hüllermeier
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Poster
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Thu 14:00
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Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization
Caio Kalil Lauand · Sean Meyn
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Poster
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Tue 9:00
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On the Complexity of Adversarial Decision Making
Dylan J Foster · Alexander Rakhlin · Ayush Sekhari · Karthik Sridharan
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Poster
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Wed 14:00
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A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences
Han Shen · Tianyi Chen
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Poster
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Tue 9:00
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Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution
Antonio Orvieto · Simon Lacoste-Julien · Nicolas Loizou
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Poster
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Thu 9:00
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Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion
Jialun Zhang · Hong-Ming Chiu · Richard Y Zhang
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Poster
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Neural Stochastic Control
Jingdong Zhang · Qunxi Zhu · Wei LIN
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Poster
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Wed 9:00
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Best of Both Worlds Model Selection
Aldo Pacchiano · Christoph Dann · Claudio Gentile
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Poster
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Tue 14:00
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Monte Carlo Tree Descent for Black-Box Optimization
Yaoguang Zhai · Sicun Gao
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Poster
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Thu 14:00
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Statistical Learning and Inverse Problems: A Stochastic Gradient Approach
Yuri Fonseca · Yuri Saporito
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Poster
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Wed 14:00
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Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity
William de Vazelhes · Hualin Zhang · Huimin Wu · Xiaotong Yuan · Bin Gu
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Poster
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Wed 9:00
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Efficiency Ordering of Stochastic Gradient Descent
Jie Hu · Vishwaraj Doshi · Do-Young Eun
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