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Poster
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Wed 14:00
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On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
Yang Hu · Adam Wierman · Guannan Qu
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Workshop
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Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell · Blake Bordelon · Shubhendu Trivedi · Cengiz Pehlevan
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Poster
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Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue · Chunhui Zhang · Chuxu Zhang · Hongfu Liu
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Workshop
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Fri 9:30
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PiRL: Participant-Invariant Representation Learning for Health Care using Wearable Data
Zhaoyang Cao · Han Yu · Huiyuan Yang · Akane Sano
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Poster
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Domain Generalization by Learning and Removing Domain-specific Features
Yu Ding · Lei Wang · Bin Liang · Shuming Liang · Yang Wang · Fang Chen
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Poster
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Wed 9:00
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Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics
Cristopher Salvi · Maud Lemercier · Andris Gerasimovics
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Poster
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Tue 14:00
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Improving Self-Supervised Learning by Characterizing Idealized Representations
Yann Dubois · Stefano Ermon · Tatsunori Hashimoto · Percy Liang
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Workshop
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Sparse Convolutions on Lie Groups
Tycho van der Ouderaa · Mark van der Wilk
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Poster
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Thu 14:00
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On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiaotong Yuan · Ping Li
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Poster
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Learning Invariant Graph Representations for Out-of-Distribution Generalization
Haoyang Li · Ziwei Zhang · Xin Wang · Wenwu Zhu
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Workshop
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Contrastive Unsupervised Learning of World Model with Invariant Causal Features
Rudra PK Poudel · Harit Pandya · Roberto Cipolla
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Poster
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Tue 9:00
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A Theory of PAC Learnability under Transformation Invariances
Han Shao · Omar Montasser · Avrim Blum
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