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Poster
Tue 17:00 Monotonic Kronecker-Factored Lattice
William Bakst · Nobuyuki Morioka · Erez Louidor
Poster
Thu 9:00 Dataset Meta-Learning from Kernel Ridge-Regression
Timothy Nguyen · Zhourong Chen · Jaehoon Lee
Poster
Wed 1:00 Knowledge distillation via softmax regression representation learning
Jing Yang · Brais Martinez · Adrian Bulat · Georgios Tzimiropoulos
Poster
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
Poster
Mon 1:00 On the Universality of the Double Descent Peak in Ridgeless Regression
David Holzm├╝ller
Poster
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
Poster
Mon 17:00 Optimal Regularization can Mitigate Double Descent
Preetum Nakkiran · Prayaag Venkat · Sham M Kakade · Tengyu Ma
Oral
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
Poster
Thu 1:00 Learning Deep Features in Instrumental Variable Regression
Liyuan Xu · Yutian Chen · Siddarth Srinivasan · Nando de Freitas · Arnaud Doucet · Arthur Gretton
Poster
Tue 1:00 Group Equivariant Conditional Neural Processes
Makoto Kawano · Wataru Kumagai · Akiyoshi Sannai · Yusuke Iwasawa · Yutaka Matsuo
Poster
Thu 17:00 Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors
Ali Harakeh · Steven L Waslander
Poster
Mon 9:00 Using latent space regression to analyze and leverage compositionality in GANs
Lucy Chai · Jonas Wulff · Phillip Isola