
RiLACS: RiskLimiting Audits via Confidence Sequences
Accurately determining the outcome of an election is a complex task with...
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A unified framework for bandit multiple testing
In bandit multiple hypothesis testing, each arm corresponds to a differe...
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Gaussian Universal Likelihood Ratio Testing
The likelihood ratio test (LRT) based on the asymptotic chisquared dist...
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Sequential Estimation of Convex Divergences using Reverse Submartingales and Exchangeable Filtrations
We present a unified technique for sequential estimation of convex diver...
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Doubly robust confidence sequences for sequential causal inference
This paper derives timeuniform confidence sequences (CS) for causal eff...
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Distributionfree uncertainty quantification for classification under label shift
Trustworthy deployment of ML models requires a proper measure of uncerta...
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Largescale simultaneous inference under dependence
Simultaneous, posthoc inference is desirable in largescale hypotheses ...
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Interactive identification of individuals with positive treatment effect while controlling false discoveries
Out of the participants in a randomized experiment with anticipated hete...
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Offpolicy Confidence Sequences
We develop confidence bounds that hold uniformly over time for offpolic...
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How can one test if a binary sequence is exchangeable? Forkconvex hulls, supermartingales, and Snell envelopes
Suppose we observe an infinite series of coin flips X_1,X_2,…, and wish ...
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Dimensionagnostic inference
Classical asymptotic theory for statistical inference usually involves c...
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Dynamic Algorithms for Online Multiple Testing
We demonstrate new algorithms for online multiple testing that provably ...
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Varianceadaptive confidence sequences by betting
This paper derives confidence intervals (CI) and timeuniform confidence...
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Nonparametric iteratedlogarithm extensions of the sequential generalized likelihood ratio test
We develop a nonparametric extension of the sequential generalized likel...
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Which Wilcoxon should we use? An interactive rank test and other alternatives
Classical nonparametric tests to compare multiple samples, such as the W...
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Admissible anytimevalid sequential inference must rely on nonnegative martingales
Wald's anytimevalid pvalues and Robbins' confidence sequences enable s...
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False discovery rate control with evalues
Evalues have gained recent attention as potential alternatives to pval...
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Distributionfree binary classification: prediction sets, confidence intervals and calibration
We study three notions of uncertainty quantification—calibration, confid...
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The leaveonecovariateout conditional randomization test
Conditional independence testing is an important problem, yet provably h...
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Confidence sequences for sampling without replacement
Many practical tasks involve sampling sequentially without replacement f...
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Analyzing Student Strategies In Blended Courses Using Clickstream Data
Educational software data promises unique insights into students' study ...
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A theoretical treatment of conditional independence testing under ModelX
For testing conditional independence (CI) of a response Y and a predicto...
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Familywise Error Rate Control by Interactive Unmasking
We propose a method for multiple hypothesis testing with familywise erro...
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On conditional versus marginal bias in multiarmed bandits
The bias of the sample means of the arms in multiarmed bandits is an im...
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Universal Inference Using the Split Likelihood Ratio Test
We propose a general method for constructing hypothesis tests and confid...
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Online control of the familywise error rate
Suppose an analyst wishes to test an infinite sequence of hypotheses one...
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Interactive Martingale Tests for the Global Null
Global null testing is a classical problem going back about a century to...
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Path Length Bounds for Gradient Descent and Flow
We provide path length bounds on gradient descent (GD) and flow (GF) cur...
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Sequential estimation of quantiles with applications to A/Btesting and bestarm identification
Consider the problem of sequentially estimating quantiles of any distrib...
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ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls
Major internet companies routinely perform tens of thousands of A/B test...
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ADDIS: adaptive algorithms for online FDR control with conservative nulls
Major internet companies routinely perform tens of thousands of A/B test...
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The bias of the sample mean in multiarmed bandits can be positive or negative
It is well known that in stochastic multiarmed bandits (MAB), the sampl...
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Predictive inference with the jackknife+
This paper introduces the jackknife+, which is a novel method for constr...
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Online Control of the False Coverage Rate and False Sign Rate
The false coverage rate (FCR) is the expected ratio of number of constru...
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Conformal Prediction Under Covariate Shift
We extend conformal prediction methodology beyond the case of exchangeab...
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A HigherOrder KolmogorovSmirnov Test
We present an extension of the KolmogorovSmirnov (KS) twosample test, ...
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The limits of distributionfree conditional predictive inference
We consider the problem of distributionfree predictive inference, with ...
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On the bias, risk and consistency of sample means in multiarmed bandits
In the classic stochastic multiarmed bandit problem, it is well known t...
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Asynchronous Online Testing of Multiple Hypotheses
We consider the problem of asynchronous online testing, aimed at providi...
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Uniform, nonparametric, nonasymptotic confidence sequences
A confidence sequence is a sequence of confidence intervals that is unif...
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Towards "simultaneous selective inference": posthoc bounds on the false discovery proportion
Some pitfalls of the false discovery rate (FDR) as an error criterion fo...
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SAFFRON: an adaptive algorithm for online control of the false discovery rate
In the online false discovery rate (FDR) problem, one observes a possibl...
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Online control of the false discovery rate with decaying memory
In the online multiple testing problem, pvalues corresponding to differ...
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DAGGER: A sequential algorithm for FDR control on DAGs
We propose a topdown algorithm for multiple testing on directed acyclic...
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A framework for MultiA(rmed)/B(andit) testing with online FDR control
We propose an alternative framework to existing setups for controlling f...
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A unified treatment of multiple testing with prior knowledge using the pfilter
A significant literature studies ways of employing prior knowledge to im...
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Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
We propose a method to optimize the representation and distinguishabilit...
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On kernel methods for covariates that are rankings
Permutationvalued features arise in a variety of applications, either i...
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Asymptotic behavior of ℓ_pbased Laplacian regularization in semisupervised learning
Given a weighted graph with N vertices, consider a realvalued regressio...
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Classification Accuracy as a Proxy for Two Sample Testing
When data analysts train a classifier and check if its accuracy is signi...
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Aaditya Ramdas
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Postdoctoral researcher working with Michael Jordan and Martin Wainwright at UC Berkeley.