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09/17/2023
Total Variation Distance Estimation Is as Easy as Probabilistic Inference
In this paper, we establish a novel connection between total variation (...
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04/10/2023
Geometry of Rounding: Near Optimal Bounds and a New Neighborhood Sperner's Lemma
A partition 𝒫 of ℝ^d is called a (k,ε)-secluded partition if, for every ...
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04/05/2023
List and Certificate Complexities in Replicable Learning
We investigate replicable learning algorithms. Ideally, we would like to...
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02/24/2023
Constraint Optimization over Semirings
Interpretations of logical formulas over semirings have applications in ...
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01/24/2023
Distinct Elements in Streams: An Algorithm for the (Text) Book
Given a data stream 𝒟 = ⟨ a_1, a_2, …, a_m ⟩ of m elements where each a_...
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11/04/2022
Geometry of Rounding
Rounding has proven to be a fundamental tool in theoretical computer sci...
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06/14/2022
On Approximating Total Variation Distance
Total variation distance (TV distance) is a fundamental notion of distan...
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07/25/2021
Efficient inference of interventional distributions
We consider the problem of efficiently inferring interventional distribu...
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05/03/2021
Model Counting meets F0 Estimation
Constraint satisfaction problems (CSP's) and data stream models are two ...
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03/15/2021
Promise Problems Meet Pseudodeterminism
The Acceptance Probability Estimation Problem (APEP) is to additively ap...
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12/29/2020
Testing Product Distributions: A Closer Look
We study the problems of identity and closeness testing of n-dimensional...
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11/09/2020
Near-Optimal Learning of Tree-Structured Distributions by Chow-Liu
We provide finite sample guarantees for the classical Chow-Liu algorithm...
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02/13/2020
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning
We design efficient distance approximation algorithms for several classe...
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02/11/2020
