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Poster
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Thu 9:00
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Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion
Jialun Zhang · Hong-Ming Chiu · Richard Y Zhang
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Poster
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Tue 14:00
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On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation
Markus Hiller · Mehrtash Harandi · Tom Drummond
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Poster
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Thu 9:00
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Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs
Jonathan Kelner · Frederic Koehler · Raghu Meka · Dhruv Rohatgi
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Workshop
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Differentially Private Adaptive Optimization with Delayed Preconditioners
Tian Li · Manzil Zaheer · Ken Liu · Sashank Reddi · H. Brendan McMahan · Virginia Smith
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Workshop
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ASDL: A Unified Interface for Gradient Preconditioning in PyTorch
Kazuki Osawa · Satoki Ishikawa · Rio Yokota · Shigang Li · Torsten Hoefler
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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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Particle-based Variational Inference with Preconditioned Functional Gradient Flow
Hanze Dong · Xi Wang · Yong Lin · Tong Zhang
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Workshop
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Graph Neural Networks for Selection of Preconditioners and Krylov Solvers
Ziyuan Tang · Hong Zhang · Jie Chen
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Workshop
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Black Box Lie Group Preconditioners for SGD
Xilin Li
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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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Differentially Private Adaptive Optimization with Delayed Preconditioners
Tian Li · Manzil Zaheer · Ken Liu · Sashank Reddi · H. Brendan McMahan · Virginia Smith
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