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29 Results
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Poster
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Thu 9:00 |
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers Colin Wei · Yining Chen · Tengyu Ma |
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Poster
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Wed 14:00 |
Optimal Weak to Strong Learning Kasper Green Larsen · Martin Ritzert |
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Poster
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Tue 9:00 |
Learning from Stochastically Revealed Preference John Birge · Xiaocheng Li · Chunlin Sun |
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Poster
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Tue 9:00 |
A Theory of PAC Learnability under Transformation Invariances Han Shao · Omar Montasser · Avrim Blum |
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Poster
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Wed 9:00 |
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity Abhishek Gupta · Aldo Pacchiano · Yuexiang Zhai · Sham Kakade · Sergey Levine |
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Poster
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Tue 14:00 |
Learning from a Sample in Online Algorithms C.J. Argue · Alan Frieze · Anupam Gupta · Christopher Seiler |
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Poster
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Wed 14:00 |
Estimation of Entropy in Constant Space with Improved Sample Complexity Maryam Aliakbarpour · Andrew McGregor · Jelani Nelson · Erik Waingarten |
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Poster
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Tue 9:00 |
Active Ranking without Strong Stochastic Transitivity Hao Lou · Tao Jin · Yue Wu · Pan Xu · Quanquan Gu · Farzad Farnoud |
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Poster
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Wed 14:00 |
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory Yang Hu · Adam Wierman · Guannan Qu |
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Poster
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Wed 9:00 |
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness Avrim Blum · Omar Montasser · Greg Shakhnarovich · Hongyang Zhang |
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Poster
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Tue 14:00 |
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization Omar Montasser · Steve Hanneke · Nati Srebro |
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Poster
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On Batch Teaching with Sample Complexity Bounded by VCD Farnam Mansouri · Hans Simon · Adish Singla · Sandra Zilles |