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112 Results
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Poster
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Wed 9:00 |
A statistical perspective on distillation Aditya Menon · Ankit Singh Rawat · Sashank Jakkam Reddi · Seungyeon Kim · Sanjiv Kumar |
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Spotlight
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Wed 7:20 |
A statistical perspective on distillation Aditya Menon · Ankit Singh Rawat · Sashank Jakkam Reddi · Seungyeon Kim · Sanjiv Kumar |
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Poster
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Wed 9:00 |
Generalization Guarantees for Neural Architecture Search with Train-Validation Split Samet Oymak · Mingchen Li · Mahdi Soltanolkotabi |
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Spotlight
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Wed 5:40 |
Generalization Guarantees for Neural Architecture Search with Train-Validation Split Samet Oymak · Mingchen Li · Mahdi Soltanolkotabi |
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Poster
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Wed 21:00 |
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning Hassan Hafez-Kolahi · Behrad Moniri · Shohreh Kasaei · Mahdieh Soleymani Baghshah |
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Spotlight
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Thu 6:45 |
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds Mauro Maggioni · Jason Miller · Hongda Qiu · Ming Zhong |
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Oral
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Wed 17:00 |
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning Hassan Hafez-Kolahi · Behrad Moniri · Shohreh Kasaei · Mahdieh Soleymani Baghshah |
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Poster
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Wed 21:00 |
Near-Optimal Linear Regression under Distribution Shift Qi Lei · Wei Hu · Jason Lee |
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Poster
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Wed 9:00 |
Robust Inference for High-Dimensional Linear Models via Residual Randomization Y. Samuel Wang · Si Kai Lee · Panos Toulis · Mladen Kolar |
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Spotlight
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Wed 17:20 |
Near-Optimal Linear Regression under Distribution Shift Qi Lei · Wei Hu · Jason Lee |
|
|
Poster
|
Thu 9:00 |
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds Mauro Maggioni · Jason Miller · Hongda Qiu · Ming Zhong |
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|
Spotlight
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Wed 5:30 |
Robust Inference for High-Dimensional Linear Models via Residual Randomization Y. Samuel Wang · Si Kai Lee · Panos Toulis · Mladen Kolar |