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12 Results
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Poster
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Thu 9:00 |
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen · Zhourong Chen · Jaehoon Lee |
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Poster
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Mon 1:00 |
On the Universality of the Double Descent Peak in Ridgeless Regression David Holzmüller |
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Poster
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Tue 17:00 |
A Hypergradient Approach to Robust Regression without Correspondence Yujia Xie · Yixiu Mao · Simiao Zuo · Hongteng Xu · Xiaojing Ye · Tuo Zhao · Hongyuan Zha |
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Poster
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Tue 1:00 |
Group Equivariant Conditional Neural Processes Makoto Kawano · Wataru Kumagai · Akiyoshi Sannai · Yusuke Iwasawa · Yutaka Matsuo |
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Poster
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Thu 1:00 |
Learning Deep Features in Instrumental Variable Regression Liyuan Xu · Yutian Chen · Siddarth Srinivasan · Nando de Freitas · Arnaud Doucet · Arthur Gretton |
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Poster
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Mon 9:00 |
Using latent space regression to analyze and leverage compositionality in GANs Lucy Chai · Jonas Wulff · Phillip Isola |
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Poster
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Tue 17:00 |
Monotonic Kronecker-Factored Lattice William Bakst · Nobuyuki Morioka · Erez Louidor |
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Poster
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Thu 17:00 |
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors Ali Harakeh · Steven L Waslander |
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Poster
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Wed 9:00 |
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients Brenden Petersen · Mikel Landajuela Larma · Terrell N Mundhenk · Claudio Santiago · Soo Kim · Joanne Kim |
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Poster
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Mon 17:00 |
Optimal Regularization can Mitigate Double Descent Preetum Nakkiran · Prayaag Venkat · Sham M Kakade · Tengyu Ma |
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Oral
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Tue 19:00 |
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients Brenden Petersen · Mikel Landajuela Larma · Terrell N Mundhenk · Claudio Santiago · Soo Kim · Joanne Kim |
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Poster
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Wed 1:00 |
Knowledge distillation via softmax regression representation learning Jing Yang · Brais Martinez · Adrian Bulat · Georgios Tzimiropoulos |