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Poster
Mon 17:00 WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen · Yu Zhang · Heiga Zen · Ron Weiss · Mohammad Norouzi · William Chan
Poster
Mon 17:00 Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
Poster
Mon 17:00 MALI: A memory efficient and reverse accurate integrator for Neural ODEs
Juntang Zhuang · Nicha C Dvornek · sekhar tatikonda · James s Duncan
Poster
Tue 1:00 Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
Max B Paulus · Chris Maddison · Andreas Krause
Oral
Tue 4:08 Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
Max B Paulus · Chris Maddison · Andreas Krause
Spotlight
Wed 5:15 Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
Workshop
Fri 12:32 Invited Talk Live: Generative Modeling by Estimating Gradients of the Data Distribution (Live Q/A at the end)
Stefano Ermon