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Poster
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Tue 17:30
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State Aggregation Learning from Markov Transition Data
Yaqi Duan · Zheng Tracy Ke · Mengdi Wang
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Poster
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Thu 17:00
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Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations
Yifeng Fan · Tingran Gao · Zhizhen Jane Zhao
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Poster
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Thu 10:45
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Using Statistics to Automate Stochastic Optimization
Hunter Lang · Lin Xiao · Pengchuan Zhang
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Poster
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Thu 17:00
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Distributionally Robust Optimization and Generalization in Kernel Methods
Matt Staib · Stefanie Jegelka
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Poster
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Wed 17:00
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Uncertainty-based Continual Learning with Adaptive Regularization
Hongjoon Ahn · Sungmin Cha · Donggyu Lee · Taesup Moon
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Poster
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Wed 17:00
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Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks
Joshua Lee · Prasanna Sattigeri · Gregory Wornell
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Poster
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Tue 17:30
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Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
Dominic Richards · Patrick Rebeschini
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Poster
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Tue 17:30
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Iterative Least Trimmed Squares for Mixed Linear Regression
Yanyao Shen · Sujay Sanghavi
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Poster
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Tue 10:45
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Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints
David Simchi-Levi · Yunzong Xu
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Poster
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Thu 17:00
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Learning metrics for persistence-based summaries and applications for graph classification
Qi Zhao · Yusu Wang
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Poster
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Thu 17:00
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Manifold denoising by Nonlinear Robust Principal Component Analysis
He Lyu · Ningyu Sha · Shuyang Qin · Ming Yan · Yuying Xie · Rongrong Wang
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Poster
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Tue 17:30
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Necessary and Sufficient Geometries for Gradient Methods
Daniel Levy · John Duchi
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