
Anindya De
· Associate ProfessorUniversity of Pennsylvania · Computer and Information Science
Active 2007–2026
Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.
Research topics
- Artificial Intelligence
- Computer Science
- Discrete mathematics
- Combinatorics
- Algorithm
- Mathematics
- Statistics
Selected publications
Polynomial-Time Trace Reconstruction in the Low Deletion Rate Regime
Conference on Innovations in Theoretical Computer Science · 2021 · 5 citations
In the trace reconstruction problem, an unknown source string x ∈ {0,1}ⁿ is transmitted through a probabilistic deletion channel which independently deletes each bit with some fixed probability δ and concatenates the surviving bits, resulting in a trace of x. The problem is to reconstruct x given access to independent traces. Trace reconstruction of arbitrary (worst-case) strings is a challenging problem, with the current state of the art for poly(n)-time algorithms being the 2004 algorithm of B…
Society for Industrial and Applied Mathematics eBooks · 2023-01-01 · 3 citations
book-chapter1st authorCorrespondingWe study the basic statistical problem of testing whether normally distributed n-dimensional data has been truncated, i.e. altered by only retaining points that lie in some unknown truncation set S ⊆ ℝn. As our main algorithmic results 1. We give a computationally efficient O(n)-sample algorithm that can distinguish the standard normal distribution N(0,In) from N(0,In) conditioned on an unknown and arbitrary convex set S. 2. We give a different computationally efficient O(n)-sample algorithm tha…
Detecting Low-Degree Truncation
2024-06-10 · 2 citations
articleOpen access1st authorCorrespondingWe consider the following basic, and very broad, statistical problem: Given a known high-dimensional distribution D over ℝn and a collection of data points in ℝn, distinguish between the two possibilities that (i) the data was drawn from D, versus (ii) the data was drawn from D|S, i.e. from D subject to truncation by an unknown truncation set S ⊆ ℝn. We study this problem in the setting where D is a high-dimensional i.i.d. product distribution and S is an unknown degree-d polynomial threshold fu…
Quantitative correlation inequalities via extremal power series
Probability Theory and Related Fields · 2022-03-14 · 2 citations
article1st authorCorrespondingTesting Intersecting and Union-Closed Families
arXiv (Cornell University) · 2023-11-18 · 1 citations
preprintOpen accessInspired by the classic problem of Boolean function monotonicity testing, we investigate the testability of other well-studied properties of combinatorial finite set systems, specifically \emph{intersecting} families and \emph{union-closed} families. A function $f: \{0,1\}^n \to \{0,1\}$ is intersecting (respectively, union-closed) if its set of satisfying assignments corresponds to an intersecting family (respectively, a union-closed family) of subsets of $[n]$. Our main results are that -- in…
Recent grants
AF: Small: Threshold Functions--Derandomization, Testing and Applications
NSF · $400k · 2020–2024
AF: Small: Collaborative Research: Boolean Function Analysis Meets Stochastic Design
NSF · $294k · 2019–2023
Frequent coauthors
- 111 shared
Rocco A. Servedio
- 35 shared
Ilias Diakonikolas
- 22 shared
Elchanan Mossel
- 20 shared
Shivam Nadimpalli
Massachusetts Institute of Technology
- 19 shared
Joe Neeman
The University of Texas at Austin
- 16 shared
Chin Ho Lee
North Carolina State University
- 13 shared
Sandip Sinha
Columbia University
- 13 shared
Thomas Vidick
Labs
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