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Aaron Smith
Aaron Smith
Associate Professor, University of Ottawa
Verified email at uottawa.ca
Title
Cited by
Cited by
Year
Accelerating asymptotically exact MCMC for computationally intensive models via local approximations
PR Conrad, YM Marzouk, NS Pillai, A Smith
Journal of the American Statistical Association 111 (516), 1591-1607, 2016
1362016
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions: Continuous dynamics
O Mangoubi, A Smith
The Annals of Applied Probability 31 (5), 2019-2045, 2021
1242021
MCMC for imbalanced categorical data
JE Johndrow, A Smith, N Pillai, DB Dunson
Journal of the American Statistical Association, 2018
83*2018
The use of a single pseudo-sample in approximate Bayesian computation
L Bornn, NS Pillai, A Smith, D Woodard
Statistics and Computing 27, 583-590, 2017
65*2017
Ergodicity of approximate MCMC chains with applications to large data sets
NS Pillai, A Smith
arXiv preprint arXiv:1405.0182, 2014
542014
Parallel local approximation MCMC for expensive models
PR Conrad, AD Davis, YM Marzouk, NS Pillai, A Smith
SIAM/ASA Journal on Uncertainty Quantification 6 (1), 339-373, 2018
432018
Does Hamiltonian Monte Carlo mix faster than a random walk on multimodal densities?
O Mangoubi, NS Pillai, A Smith
arXiv preprint arXiv:1808.03230, 2018
362018
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators
O Mangoubi, A Smith
The 22nd international conference on artificial intelligence and statistics …, 2019
302019
A Gibbs sampler on the -simplex
A Smith
272014
Rapid mixing of geodesic walks on manifolds with positive curvature
O Mangoubi, A Smith
The Annals of Applied Probability 28 (4), 2501-2543, 2018
252018
No free lunch for approximate MCMC
JE Johndrow, NS Pillai, A Smith
arXiv preprint arXiv:2010.12514, 2020
222020
Kac’s walk on -sphere mixes in steps
NS Pillai, A Smith
212017
Explicit Yamabe flow of an asymmetric cigar
A Burchard, RJ McCann, A Smith
152008
On the mixing time of Kac’s walk and other high-dimensional Gibbs samplers with constraints
NS Pillai, A Smith
The Annals of Probability 46 (4), 2345-2399, 2018
132018
Mixing times for a constrained Ising process on the torus at low density
NS Pillai, A Smith
132017
Fast mixing of metropolis-hastings with unimodal targets
J Johndrow, A Smith
112018
Rate-optimal refinement strategies for local approximation MCMC
AD Davis, Y Marzouk, A Smith, N Pillai
Statistics and Computing 32 (4), 60, 2022
102022
Reconstruction of line-embeddings of graphons
J Janssen, A Smith
Electronic Journal of Statistics 16 (1), 331-407, 2022
102022
Mixing times and hitting times for general Markov processes
RM Anderson, H Duanmu, A Smith
Israel Journal of Mathematics 259 (2), 759-834, 2024
92024
Mixing times for a constrained Ising process on the two-dimensional torus at low density
NS Pillai, A Smith
92019
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