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Workshop
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Learning to Design Data-structures: A Case Study of Nearest Neighbor Search
Omar Salemohamed · Vatsal Sharan · Shivam Garg · Laurent Charlin · Greg Valiant
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Poster
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Tue 2:30
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Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rui Miao · Kaixiong Zhou · Yili Wang · Ninghao Liu · Ying Wang · Xin Wang
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Workshop
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Fri 1:45
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Invited Talk 3: Differentiable Control Flows and Data Structures
Vincent Roulet
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Workshop
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How In-Context Learning Emerges from Training on Unstructured Data: The Role of Co-Occurrence, Positional Information, and Noise Structures
Kevin Christian Wibisono · Yixin Wang
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Poster
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Thu 4:30
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Discovering Mixtures of Structural Causal Models from Time Series Data
Sumanth Varambally · Yian Ma · Rose Yu
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Workshop
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How In-Context Learning Emerges from Training on Unstructured Data: The Role of Co-Occurrence, Positional Information, and Noise Structures
Kevin Christian Wibisono · Yixin Wang
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Poster
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Thu 2:30
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Optimal Transport for Structure Learning Under Missing Data
Vy Vo · He Zhao · Trung Le · Edwin V. Bonilla · Dinh Phung
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Workshop
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Learning Diffeomorphic Lyapunov Functions from Data
Samuel Tesfazgi · Leonhard Sprandl · Sandra Hirche
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Poster
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Tue 2:30
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Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
Kevin Kögler · Aleksandr Shevchenko · Hamed Hassani · Marco Mondelli
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Poster
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Wed 4:30
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Detecting and Identifying Selection Structure in Sequential Data
Yujia Zheng · Zeyu Tang · Yiwen Qiu · Bernhard Schölkopf · Kun Zhang
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Poster
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Wed 4:30
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Structure Your Data: Towards Semantic Graph Counterfactuals
Angeliki Dimitriou · Maria Lymperaiou · Giorgos Filandrianos · Konstantinos Thomas · Giorgos Stamou
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Poster
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Thu 2:30
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Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders
XUE YU · Muchen Li · Yan Leng · Renjie Liao
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