Parallel Tempering With a Variational Reference. - Nikola Surjanovic; Saifuddin Syed; Alexandre Bouchard-Côté; Trevor Campbell (NeurIPS, 2022)

Pigeons.jl: Distributed Sampling From Intractable Distributions. - Nikola Surjanovic; Miguel Biron-Lattes; Paul Tiede; Saifuddin Syed; Trevor Campbell; Alexandre Bouchard-Côté (CoRR, 2023)

autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm. - Miguel Biron-Lattes; Nikola Surjanovic; Saifuddin Syed; Trevor Campbell; Alexandre Bouchard-Côté (AISTATS, 2024)

MCMC-driven learning. - Alexandre Bouchard-Côté; Trevor Campbell; Geoff Pleiss; Nikola Surjanovic (CoRR, 2024)

Alpha-Trimming: Locally Adaptive Tree Pruning for Random Forests. - Nikola Surjanovic; Andrew J. Henrey; Thomas M. Loughin (CoRR, 2024)

AutoStep: Locally adaptive involutive MCMC. - Tiange Liu; Nikola Surjanovic; Miguel Biron-Lattes; Alexandre Bouchard-Côté; Trevor Campbell (CoRR, 2024)

Is Gibbs sampling faster than Hamiltonian Monte Carlo on GLMs? - Son Luu; Zuheng Xu; Nikola Surjanovic; Miguel Biron-Lattes; Trevor Campbell; Alexandre Bouchard-Côté (AISTATS, 2025)

AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent. - Nikola Surjanovic; Alexandre Bouchard-Côté; Trevor Campbell (CoRR, 2025)