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130 Results
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Dimensionality Reduction as Probabilistic Inference Aditya Ravuri · Francisco Vargas · Vidhi Ramesh · Neil Lawrence |
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Inferring Hierarchical Structure in Multi-Room Maze Environments Daria de Tinguy · Toon Van de Maele · Tim Verbelen · Bart Dhoedt |
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Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation Based Inference Vincent Zaballa · Elliot Hui |
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Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation Chris Emezue · Alexandre Drouin · Tristan Deleu · Stefan Bauer · Yoshua Bengio |
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Advancing Counterfactual Inference through Quantile Regression Shaoan Xie · Biwei Huang · Bin Gu · Tongliang Liu · Kun Zhang |
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A Model-Theoretic Approach to Natural Language Inference Dennis Tang |
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Towards Modular Learning of Deep Causal Generative Models Md Musfiqur Rahman · Murat Kocaoglu |
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Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Simon Buchholz · Goutham Rajendran · Elan Rosenfeld · Bryon Aragam · Bernhard Schölkopf · Pradeep Ravikumar |
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A Novel Application of Conditional Normalizing Flows: Stellar Age Inference with Gyrochronology Phil Van-Lane · Joshua Speagle |
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Sat 14:50 |
InterSynth: a semi-synthetic framework for benchmarking prescriptive inference from observational data Dominic Giles · Robert Gray · Chris Foulon · Guilherme Pombo · Tianbo Xu · James K Ruffle · Rolf Jäger · Jorge Cardoso · Sebastien Ourselin · Geraint Rees · Ashwani Jha · Parashkev Nachev |
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Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation Waïss Azizian · Guillaume Baudart · Marc Lelarge |
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Exploring Exchangeable Dataset Amortization for Bayesian Posterior Inference Sarthak Mittal · Niels Bracher · Guillaume Lajoie · Priyank Jaini · Marcus Brubaker |