stat.CO

Papers

• Variance Reduction for Expectations with Diffusion Teachers (2026)
  Jesse Bettencourt et al.
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• No More Mumbles: Enhancing Robot Intelligibility through Speech Adaptation (2024)
  Qiaoqiao Ren et al.
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• Score-Repellent Monte Carlo: Toward Efficient Non-Markovian Sampler with Constant Memory in General State Spaces (2026)
  Jie Hu et al.
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• Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification (2026)
  Julian Rodemann et al.
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• SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate (2026)
  Lifu Wei et al.
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• Detecting Metastable Basins in High Dimensions via Marginal Trajectory Distribution Discrimination (2026)
  Taj Jones-McCormick
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• On the Epistemic Uncertainty of Overparametrized Neural Networks (2026)
  David R\"ugamer
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• SIKA-GP: Accelerating Gaussian Process Inference with Sparse Inducing Kernel Approximations for Bayesian Deep Learning (2026)
  Wenyuan Zhao et al.
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• Soft Specialists: $\alpha$-R\'enyi Ensembles for Uncertainty-Aware LLM Post-Training (2026)
  Paula Cordero-Encinar et al.
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• Wasserstein Contraction of Coordinate Ascent Variational Inference (2026)
  Rocco Caprio et al.
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