23 citations · 101 across the 39 of their papers we have counts for
4 papers · 1 filter
Parallel Sampling via Counting
Nima Anari, Ruiquan Gao, Aviad Rubinstein
We show how to use parallelization to speed up sampling from an arbitrary distribution on a product space , given oracle access to counting queries: $\mathbb{P}_{X\sim μ…
Trickle-Down in Localization Schemes and Applications
Nima Anari, Frederic Koehler, Thuy-Duong Vuong
Trickle-down is a phenomenon in high-dimensional expanders with many important applications -- for example, it is a key ingredient in various constructions of high-dimensional expa…
Batch Active Learning of Reward Functions from Human Preferences
Erdem Bıyık, Nima Anari, Dorsa Sadigh
Data generation and labeling are often expensive in robot learning. Preference-based learning is a concept that enables reliable labeling by querying users with preference question…
Fast parallel sampling under isoperimetry
Nima Anari, Sinho Chewi, Thuy-Duong Vuong
We show how to sample in parallel from a distribution over that satisfies a log-Sobolev inequality and has a smooth log-density, by parallelizing the Langevin (re…