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math.ST2026
On the optimality of antithetic randomization for cross-validation
Srijan Chattopadhyay, Sifan Liu, Snigdha Panigrahi
In the classical normal means problem, independent train--test folds can be constructed by perturbing the data with normal randomization. Averaging over such folds yields a cro…
stat.CO2026
Markov Chain Monte Carlo with Diffusion Paths
Han Chen, Sifan Liu, Jun Yang
Sampling from multimodal distributions is a longstanding challenge for classical local Markov chain Monte Carlo (MCMC) methods. A popular remedy is to introduce a sequence of inter…
stat.CO2026
Sub-Cauchy Sampling: Escaping the Dark Side of the Moon
Sebastiano Grazzi, Sifan Liu, Gareth O. Roberts +1
We introduce a Markov chain Monte Carlo algorithm based on Sub-Cauchy Projection, a geometric transformation that generalizes stereographic projection by mapping Euclidean space in…