activity
20172025
most citedSpecies tree estimation using ASTRAL: how many genes are enough?

38 citations · 70 across the 19 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

math.ST2023★ 2 cited

On the near-optimality of betting confidence sets for bounded means

Shubhanshu Shekhar, Aaditya Ramdas

Constructing nonasymptotic confidence intervals (CIs) for the mean of a univariate distribution from independent and identically distributed (i.i.d.) observations is a fundamental…

stat.ML2023

Deep anytime-valid hypothesis testing

Teodora Pandeva, Patrick Forré, Aaditya Ramdas +1

We propose a general framework for constructing powerful, sequential hypothesis tests for a large class of nonparametric testing problems. The null hypothesis for these problems is…

math.ST2023★ 1 cited

Reducing sequential change detection to sequential estimation

Shubhanshu Shekhar, Aaditya Ramdas

We consider the problem of sequential change detection, where the goal is to design a scheme for detecting any changes in a parameter or functional of the data stream distribut…

stat.ME2023

Risk-limiting Financial Audits via Weighted Sampling without Replacement

Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton +2

We introduce the notion of a risk-limiting financial auditing (RLFA): given transactions, the goal is to estimate the total misstated monetary fraction~() to a given accur…

math.ST2023★ 1 cited

Sequential change detection via backward confidence sequences

Shubhanshu Shekhar, Aaditya Ramdas

We present a simple reduction from sequential estimation to sequential changepoint detection (SCD). In short, suppose we are interested in detecting changepoints in some parameter…