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Poster
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Wed 9:00
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Meta-Learning Dynamics Forecasting Using Task Inference
Rui Wang · Robin Walters · Rose Yu
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Poster
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Tue 9:00
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Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
Alireza Nasiri · Tristan Bepler
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Tutorial
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Mon 8:00
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Probabilistic Circuits: Representations, Inference, Learning and Applications
Antonio Vergari · YooJung Choi · Robert Peharz
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Workshop
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Fri 12:30
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Unsupervised Deep Metric Learning for the inference of hemodynamic value with Electrocardiogram signals
Hyewon Jeong · Marzyeh Ghassemi · Collin Stultz
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Workshop
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FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Saeed Vahidian · Mahdi Morafah · Weijia Wang · Bill Lin
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Poster
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Thu 9:00
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Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
Minjong Yoo · SangWoo Cho · Honguk Woo
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Poster
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Thu 9:00
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RISE: Robust Individualized Decision Learning with Sensitive Variables
Xiaoqing Tan · Zhengling Qi · Christopher Seymour · Lu Tang
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Poster
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Wed 9:00
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Debiased Machine Learning without Sample-Splitting for Stable Estimators
Qizhao Chen · Vasilis Syrgkanis · Morgane Austern
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Poster
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Tue 14:00
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Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences
Wenbo Zhang · likai tang · Site Mo · Xianggen Liu · Sen Song
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Poster
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Tue 14:00
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Sequence Model Imitation Learning with Unobserved Contexts
Gokul Swamy · Sanjiban Choudhury · J. Bagnell · Steven Wu
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Poster
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Wed 9:00
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Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
Ioana Bica · Mihaela van der Schaar
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Poster
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Wed 14:00
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BayesPCN: A Continually Learnable Predictive Coding Associative Memory
Jinsoo Yoo · Frank Wood
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