10 citations · 10 across the 4 of their papers we have counts for
6 papers
Distillation of Synthetic Data for Time Series Foundation Models
Niloy Biswas, Noureddine El Karoui
Time series foundation models (TSFMs) are increasingly pre-trained on synthetically generated time series trajectories, where the data generating process is known. Current pre-trai…
Scalable Spike-and-Slab
Niloy Biswas, Lester Mackey, Xiao-Li Meng
Spike-and-slab priors are commonly used for Bayesian variable selection, due to their interpretability and favorable statistical properties. However, existing samplers for spike-an…
Bounding Wasserstein distance with couplings
Niloy Biswas, Lester Mackey
Markov chain Monte Carlo (MCMC) provides asymptotically consistent estimates of intractable posterior expectations as the number of iterations tends to infinity. However, in large…
Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors
Niloy Biswas, Anirban Bhattacharya, Pierre E. Jacob +1
We consider Markov chain Monte Carlo (MCMC) algorithms for Bayesian high-dimensional regression with continuous shrinkage priors. A common challenge with these algorithms is the ch…
Estimating Convergence of Markov chains with L-Lag Couplings
Niloy Biswas, Pierre E. Jacob, Paul Vanetti
Markov chain Monte Carlo (MCMC) methods generate samples that are asymptotically distributed from a target distribution of interest as the number of iterations goes to infinity. Va…
The spatial Lambda-Fleming-Viot process with fluctuating selection
Niloy Biswas, Alison Etheridge, Aleksander Klimek
We are interested in populations in which the fitness of different genetic types fluctuates in time and space, driven by temporal and spatial fluctuations in the environment. For s…