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Affinity Workshop
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Model Averaging to Learn Bayesian Network Structures with Non-Linear Structured Representations
Charupriya Sharma
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Poster
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Thu 14:00
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Provably Efficient Model-Free Constrained RL with Linear Function Approximation
Arnob Ghosh · Xingyu Zhou · Ness Shroff
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Poster
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Tue 14:00
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Causal Inference with Non-IID Data using Linear Graphical Models
Chi Zhang · Karthika Mohan · Judea Pearl
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Workshop
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Bayesian Sequential Experimental Design for a Partially Linear Model with a Gaussian Process Prior
Shunsuke Horii
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Workshop
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Blind Drifting: Diffusion models with a linear SDE drift term for blind image restoration tasks
Simon Welker · Henry Chapman · Timo Gerkmann
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Poster
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Thu 14:00
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Generalization for multiclass classification with overparameterized linear models
Vignesh Subramanian · Rahul Arya · Anant Sahai
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Poster
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Thu 9:00
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Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve
Giannis Daras · Negin Raoof · Zoi Gkalitsiou · Alex Dimakis
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Poster
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Tue 9:00
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Communication Efficient Federated Learning for Generalized Linear Bandits
Chuanhao Li · Hongning Wang
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Poster
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Tue 14:00
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Robust Testing in High-Dimensional Sparse Models
Anand Jerry George · Clément L Canonne
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Poster
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Wed 9:00
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Best of Both Worlds Model Selection
Aldo Pacchiano · Christoph Dann · Claudio Gentile
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Poster
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Thu 14:00
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Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model
Pranjal Awasthi · Abhimanyu Das · Weihao Kong · Rajat Sen
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Poster
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Thu 14:00
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A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
Lijia Zhou · Frederic Koehler · Pragya Sur · Danica J. Sutherland · Nati Srebro
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