Spotlight

Wed 11:25

Convergence of Uncertainty Sampling for Active Learning
Anant Raj · Francis Bach

Poster

Tue 15:30

Understanding the unstable convergence of gradient descent
Kwangjun Ahn · Jingzhao Zhang · Suvrit Sra

Spotlight

Tue 13:30

Understanding the unstable convergence of gradient descent
Kwangjun Ahn · Jingzhao Zhang · Suvrit Sra

Poster

Wed 15:30

Convergence of Uncertainty Sampling for Active Learning
Anant Raj · Francis Bach

Poster

Tue 15:30

Stochastic Reweighted Gradient Descent
Ayoub El Hanchi · David Stephens · Chris Maddison

Poster

Wed 15:30

Adapting to Mixing Time in Stochastic Optimization with Markovian Data
Ron Dorfman · Kfir Levy

Poster

Wed 15:30

Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
Bokun Wang · Tianbao Yang

Poster

Wed 15:30

Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
Zeke Xie · Xinrui Wang · Huishuai Zhang · Issei Sato · Masashi Sugiyama

Oral

Wed 8:05

Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
Zeke Xie · Xinrui Wang · Huishuai Zhang · Issei Sato · Masashi Sugiyama

Spotlight

Tue 10:50

Stochastic Reweighted Gradient Descent
Ayoub El Hanchi · David Stephens · Chris Maddison

Spotlight

Wed 8:10

Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
Bokun Wang · Tianbao Yang

Oral

Wed 7:30

Adapting to Mixing Time in Stochastic Optimization with Markovian Data
Ron Dorfman · Kfir Levy