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Spotlight
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Wed 11:25
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Convergence of Uncertainty Sampling for Active Learning
Anant Raj · Francis Bach
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Poster
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Tue 15:30
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Understanding the unstable convergence of gradient descent
Kwangjun Ahn · Jingzhao Zhang · Suvrit Sra
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Poster
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Wed 15:30
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Convergence of Uncertainty Sampling for Active Learning
Anant Raj · Francis Bach
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Spotlight
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Tue 13:30
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Understanding the unstable convergence of gradient descent
Kwangjun Ahn · Jingzhao Zhang · Suvrit Sra
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Poster
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Wed 15:30
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Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
Zeke Xie · Xinrui Wang · Huishuai Zhang · Issei Sato · Masashi Sugiyama
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Poster
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Tue 15:30
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Stochastic Reweighted Gradient Descent
Ayoub El Hanchi · David Stephens · Chris Maddison
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Spotlight
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Wed 8:10
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Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
Bokun Wang · Tianbao Yang
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Oral
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Wed 8:05
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Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
Zeke Xie · Xinrui Wang · Huishuai Zhang · Issei Sato · Masashi Sugiyama
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Poster
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Wed 15:30
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Adapting to Mixing Time in Stochastic Optimization with Markovian Data
Ron Dorfman · Kfir Levy
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Oral
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Wed 7:30
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Adapting to Mixing Time in Stochastic Optimization with Markovian Data
Ron Dorfman · Kfir Levy
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Poster
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Wed 15:30
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Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
Bokun Wang · Tianbao Yang
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Spotlight
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Tue 10:50
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Stochastic Reweighted Gradient Descent
Ayoub El Hanchi · David Stephens · Chris Maddison
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