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Poster
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Wed 9:00
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Contrastive Neural Ratio Estimation
Benjamin K Miller · Christoph Weniger · Patrick Forré
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Poster
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Wed 9:00
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Batch Bayesian optimisation via density-ratio estimation with guarantees
Rafael Oliveira · Louis Tiao · Fabio Ramos
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Workshop
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Noise-conditional Maximum Likelihood Estimation with Score-based Sampling
Henry Li · Yuval Kluger
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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 9:00
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Tractable Optimality in Episodic Latent MABs
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
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Poster
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Tue 9:00
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On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood
Moses Charikar · Zhihao Jiang · Kirankumar Shiragur · Aaron Sidford
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Poster
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Thu 9:00
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Are GANs overkill for NLP?
David Alvarez-Melis · Vikas Garg · Adam Kalai
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Poster
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Tue 14:00
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Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation
Arnaud Delaunoy · Joeri Hermans · François Rozet · Antoine Wehenkel · Gilles Louppe
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Workshop
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Computing the Bayes-optimal classifier and exact maximum likelihood estimator with a semi-realistic generative model for jet physics
Kyle Cranmer · Matthew Drnevich · Lauren Greenspan · Sebastian Macaluso · Duccio Pappadopulo
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Affinity Workshop
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DEVELOPMENT OF A MODIFIED LIKELIHOOD RATIO MODEL FOR HANDWRITING IDENTIFICATION IN FORENSIC SCIENCE
Adeyinka Abiodun · Sesan Adeyemo · Adegboyega Adebayo
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Poster
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Thu 9:00
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Finite-Sample Maximum Likelihood Estimation of Location
Shivam Gupta · Jasper Lee · Eric Price · Paul Valiant
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Workshop
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Detection is truncation: studying source populations with truncated marginal neural ratio estimation
Noemi Anau Montel · Christoph Weniger
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