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Workshop
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Fri 5:10
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Spotlight 2: Yibo Yang and Stephan Mandt, Lower Bounding Rate-Distortion From Samples
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Poster
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Mon 1:00
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Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal · Iris Huijben · Taco Cohen
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Workshop
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Fri 5:05
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Spotlight 1: Lucas Theis & Aaron Wagner, A coding theorem for the rate-distortion-perception function
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Workshop
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Fri 11:45
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Spotlight 9: George Zhang et al., Universal Rate-Distortion-Perception Representations for Lossy Compression
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Poster
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Wed 17:00
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AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
Yuchen Jin · Tianyi Zhou · Liangyu Zhao · Yibo Zhu · Chuanxiong Guo · Marco Canini · Arvind Krishnamurthy
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Poster
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Thu 1:00
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AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
Byeongho Heo · Sanghyuk Chun · Seong Joon Oh · Dongyoon Han · Sangdoo Yun · Gyuwan Kim · Youngjung Uh · Jung-Woo Ha
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Spotlight
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Wed 5:15
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Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
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Poster
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Mon 17:00
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Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
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Poster
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Tue 9:00
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On the Origin of Implicit Regularization in Stochastic Gradient Descent
Samuel Smith · Benoit Dherin · David Barrett · Soham De
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Poster
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Thu 1:00
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Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
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Oral
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Thu 0:30
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Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
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