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Oral
Wed Dec 11 03:50 PM -- 04:05 PM (PST) @ West Exhibition Hall C + B3
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
Spotlight
Wed Dec 11 04:05 PM -- 04:10 PM (PST) @ West Exhibition Hall C + B3
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals
Spotlight
Wed Dec 11 04:10 PM -- 04:15 PM (PST) @ West Exhibition Hall C + B3
Limitations of Lazy Training of Two-layers Neural Network
Spotlight
Wed Dec 11 04:15 PM -- 04:20 PM (PST) @ West Exhibition Hall C + B3
Generalization Bounds for Neural Networks via Approximate Description Length
Spotlight
Wed Dec 11 04:20 PM -- 04:25 PM (PST) @ West Exhibition Hall C + B3
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
Oral
Wed Dec 11 04:25 PM -- 04:40 PM (PST) @ West Exhibition Hall C + B3
On Making Stochastic Classifiers Deterministic
Spotlight
Wed Dec 11 04:40 PM -- 04:45 PM (PST) @ West Exhibition Hall C + B3
Cold Case: The Lost MNIST Digits
Spotlight
Wed Dec 11 04:45 PM -- 04:50 PM (PST) @ West Exhibition Hall C + B3
An adaptive nearest neighbor rule for classification
Spotlight
Wed Dec 11 04:50 PM -- 04:55 PM (PST) @ West Exhibition Hall C + B3
Multilabel reductions: what is my loss optimising?
Spotlight
Wed Dec 11 04:55 PM -- 05:00 PM (PST) @ West Exhibition Hall C + B3
Optimal Sparse Decision Trees