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Workshop
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Probabilities of Causation: Adequate Size of Experimental and Observational Samples
Ang Li · Ruirui Mao · Judea Pearl
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Workshop
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MC-DARTS : Model Size Constrained Differentiable Architecture Search
Kazuki Hemmi · Yuki Tanigaki · Masaki Onishi
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Workshop
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Wide Attention Is The Way Forward For Transformers
Jason Brown · Yiren Zhao · I Shumailov · Robert Mullins
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Workshop
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PSPS: Preconditioned Stochastic Polyak Step-size method for badly scaled data
Farshed Abdukhakimov · Chulu Xiang · Dmitry Kamzolov · Robert Gower · Martin Takac
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Workshop
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Towards Neural Variational Monte Carlo That Scales Linearly with System Size
Or Sharir · Garnet Chan · Anima Anandkumar
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Workshop
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Q-Ensemble for Offline RL: Don't Scale the Ensemble, Scale the Batch Size
Alexander Nikulin · Vladislav Kurenkov · Denis Tarasov · Dmitry Akimov · Sergey Kolesnikov
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Workshop
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On the impact of larger batch size in the training of Physics Informed Neural Networks
Shyam Sankaran · Hanwen Wang · Leonardo Ferreira Guilhoto · Paris Perdikaris
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Workshop
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Sat 13:30
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Fanny Yang: Surprising failures of standard practices in ML when the sample size is small.
Fanny Yang
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Workshop
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Fri 8:45
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PSPS: Preconditioned Stochastic Polyak Step-size method for badly scaled data
Farshed Abdukhakimov
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Workshop
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Fri 13:20
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Wide Attention Is The Way Forward For Transformers
Jason Brown · Yiren Zhao · I Shumailov · Robert Mullins
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Workshop
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Variance Double-Down: The Small Batch Size Anomaly in Multistep Deep Reinforcement Learning
Johan Obando Ceron · Marc Bellemare · Pablo Samuel Castro
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Workshop
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Sat 13:55
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Fanny Yang: Surprising failures of standard practices in ML when the sample size is small.
Fanny Yang
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