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Oral
Wed Dec 11th 03:50 -- 04:05 PM @ West Exhibition Hall C + B3
Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup
Sebastian Goldt · Madhu Advani · Andrew Saxe · Florent Krzakala · Lenka Zdeborov√°
Spotlight
Wed Dec 11th 04:05 -- 04:10 PM @ West Exhibition Hall C + B3
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals
Surbhi Goel · Sushrut Karmalkar · Adam Klivans
Spotlight
Wed Dec 11th 04:10 -- 04:15 PM @ West Exhibition Hall C + B3
Limitations of Lazy Training of Two-layers Neural Network
Behrooz Ghorbani · Song Mei · Theodor Misiakiewicz · Andrea Montanari
Spotlight
Wed Dec 11th 04:15 -- 04:20 PM @ West Exhibition Hall C + B3
Generalization Bounds for Neural Networks via Approximate Description Length
Amit Daniely · Elad Granot
Spotlight
Wed Dec 11th 04:20 -- 04:25 PM @ West Exhibition Hall C + B3
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
Chulhee Yun · Suvrit Sra · Ali Jadbabaie
Oral
Wed Dec 11th 04:25 -- 04:40 PM @ West Exhibition Hall C + B3
On Making Stochastic Classifiers Deterministic
Andrew Cotter · Maya Gupta · Harikrishna Narasimhan
Spotlight
Wed Dec 11th 04:40 -- 04:45 PM @ West Exhibition Hall C + B3
Cold Case: The Lost MNIST Digits
Chhavi Yadav · Leon Bottou
Spotlight
Wed Dec 11th 04:45 -- 04:50 PM @ West Exhibition Hall C + B3
An adaptive nearest neighbor rule for classification
Akshay Balsubramani · Sanjoy Dasgupta · yoav Freund · Shay Moran
Spotlight
Wed Dec 11th 04:50 -- 04:55 PM @ West Exhibition Hall C + B3
Multilabel reductions: what is my loss optimising?
Aditya Menon · Ankit Singh Rawat · Sashank Reddi · Sanjiv Kumar
Spotlight
Wed Dec 11th 04:55 -- 05:00 PM @ West Exhibition Hall C + B3
Optimal Sparse Decision Trees
Xiyang Hu · Cynthia Rudin · Margo Seltzer