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Michalis K. Titsias

Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited

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Jul 03, 2025
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Gaussian Invariant Markov Chain Monte Carlo

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Jun 26, 2025
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Learning-Order Autoregressive Models with Application to Molecular Graph Generation

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Mar 07, 2025
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New Bounds for Sparse Variational Gaussian Processes

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Feb 12, 2025
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Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset

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Nov 06, 2024
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Can independent Metropolis beat crude Monte Carlo?

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Jun 25, 2024
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Simplified and Generalized Masked Diffusion for Discrete Data

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Jun 06, 2024
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Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models

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Mar 03, 2024
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Kalman Filter for Online Classification of Non-Stationary Data

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Jun 14, 2023
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Optimal Preconditioning and Fisher Adaptive Langevin Sampling

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May 23, 2023
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