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Spotlight
Mon 12:45 On Statistical Bias In Active Learning: How and When to Fix It
Sebastian Farquhar · Yarin Gal · Tom Rainforth
Poster
Mon 9:00 On Statistical Bias In Active Learning: How and When to Fix It
Sebastian Farquhar · Yarin Gal · Tom Rainforth
Poster
Wed 9:00 Theoretical bounds on estimation error for meta-learning
James Lucas · Mengye Ren · Irene Raissa KAMENI KAMENI · Toniann Pitassi · Richard Zemel
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
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