Paper-Conference

Robust and Scalable Bayesian Online Changepoint Detection
This paper proposes an online, provably robust, and scalable Bayesian approach for changepoint detection. The resulting algorithm has …
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Towards Healing the Blindness of Score Matching
Score-based divergences have been widely used in machine learning and statistics applications. Despite their empirical success, a …
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Robust Bayesian inference for simulator-based models via the MMD posterior bootstrap
Simulator-based models are models for which the likelihood is intractable but simulation of synthetic data is possible. They are often …
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Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization
Control variates are a well-established tool to reduce the variance of Monte Carlo estimators. However, for large-scale problems …
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Bayesian Probabilistic Numerical Integration with Tree-Based Models
Bayesian quadrature (BQ) is a method for solving numerical integration problems in a Bayesian manner, which allows users to quantify …
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Minimum Stein Discrepancy Estimators
When maximum likelihood estimation is infeasible, one often turns to score matching, contrastive divergence, or minimum probability …
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