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Poster
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Wed 17:00
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Structured Variational Inference in Continuous Cox Process Models
Virginia Aglietti · Edwin Bonilla · Theodoros Damoulas · Sally Cripps
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Poster
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Tue 17:30
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Using Embeddings to Correct for Unobserved Confounding in Networks
Victor Veitch · Yixin Wang · David Blei
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Poster
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Tue 17:30
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Variational Bayes under Model Misspecification
Yixin Wang · David Blei
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Poster
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Wed 17:00
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Provable Gradient Variance Guarantees for Black-Box Variational Inference
Justin Domke
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Poster
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Tue 10:45
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Adapting Neural Networks for the Estimation of Treatment Effects
Claudia Shi · David Blei · Victor Veitch
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Poster
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Tue 17:30
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Universal Boosting Variational Inference
Trevor Campbell · Xinglong Li
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Poster
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Tue 10:45
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Kernel Instrumental Variable Regression
Rahul Singh · Maneesh Sahani · Arthur Gretton
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Poster
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Thu 10:45
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Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds
Nathan Kallus · Angela Zhou
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Poster
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Thu 10:45
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PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
Yongkai Wu · Lu Zhang · Xintao Wu · Hanghang Tong
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Poster
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Wed 17:00
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Learning Hawkes Processes from a handful of events
Farnood Salehi · William Trouleau · Matthias Grossglauser · Patrick Thiran
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Poster
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Tue 10:45
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Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
Daniel Kumor · Bryant Chen · Elias Bareinboim
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Poster
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Tue 17:30
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Policy Evaluation with Latent Confounders via Optimal Balance
Andrew Bennett · Nathan Kallus
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