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646 Results
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Poster
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Tue 14:00 |
Monte Carlo Tree Descent for Black-Box Optimization Yaoguang Zhai · Sicun Gao |
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Poster
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Wed 14:00 |
Generalizing Bayesian Optimization with Decision-theoretic Entropies Willie Neiswanger · Lantao Yu · Shengjia Zhao · Chenlin Meng · Stefano Ermon |
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Poster
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Wed 9:00 |
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses Sanket Shah · Kai Wang · Bryan Wilder · Andrew Perrault · Milind Tambe |
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Poster
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Tue 14:00 |
Online Agnostic Multiclass Boosting Vinod Raman · Ambuj Tewari |
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Poster
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Thu 14:00 |
Local Bayesian optimization via maximizing probability of descent Quan Nguyen · Kaiwen Wu · Jacob Gardner · Roman Garnett |
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Poster
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Wed 9:00 |
The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization Dmitry Kovalev · Alexander Gasnikov |
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Poster
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Thu 9:00 |
On Infinite Separations Between Simple and Optimal Mechanisms Alexandros Psomas · Ariel Schvartzman Cohenca · S. Weinberg |
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Expo Workshop
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Mon 7:30 |
PyTorch: New advances for large-scale training and performance optimizations Geeta Chauhan · Rohan Varma · Ke Wen · Taylor Robie · Andrew Gu · Anupam Bhatnagar · Bin Bao · Natalia Gimelshein · Animesh Jain · Sherlock Huang |
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Poster
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Wed 14:00 |
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound Charles Guille-Escuret · Adam Ibrahim · Baptiste Goujaud · Ioannis Mitliagkas |
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Expo Talk Panel
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Mon 13:00 |
Adapt and Optimize ML Models for Hardware-Aware AI Di Wu |