Anindya De

Orcid: 0000-0001-6795-8211

According to our database1, Anindya De authored at least 67 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of three.
  • Erdős number3 of two.

Timeline

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Bibliography

2024
Lower Bounds for Convexity Testing.
CoRR, 2024

Relative-error monotonicity testing.
CoRR, 2024

Detecting Low-Degree Truncation.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Mildly Exponential Lower Bounds on Tolerant Testers for Monotonicity, Unateness, and Juntas.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Testing Intersecting and Union-Closed Families.
Proceedings of the 15th Innovations in Theoretical Computer Science Conference, 2024

Trace Reconstruction from Local Statistical Queries.
Proceedings of the Approximation, 2024

2023
Gaussian Approximation of Convex Sets by Intersections of Halfspaces.
CoRR, 2023

Testing Convex Truncation.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Approximate Trace Reconstruction from a Single Trace.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Reconstructing Ultrametric Trees from Noisy Experiments.
Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022
Nearly Tight Bounds for Discrete Search under Outlier Noise.
Proceedings of the 5th Symposium on Simplicity in Algorithms, 2022

Approximating Sumset Size.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Near-Optimal Average-Case Approximate Trace Reconstruction from Few Traces.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Convex Influences.
Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

Algorithms for learning a mixture of linear classifiers.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2021
Robust testing of low-dimensional functions.
Electron. Colloquium Comput. Complex., 2021

Polynomial-time trace reconstruction in the smoothed complexity model.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Approximate optimization of convex functions with outlier noise.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Quantitative Correlation Inequalities via Semigroup Interpolation.
Proceedings of the 12th Innovations in Theoretical Computer Science Conference, 2021

Polynomial-Time Trace Reconstruction in the Low Deletion Rate Regime.
Proceedings of the 12th Innovations in Theoretical Computer Science Conference, 2021

Weak learning convex sets under normal distributions.
Proceedings of the Conference on Learning Theory, 2021

Learning sparse mixtures of permutations from noisy information.
Proceedings of the Conference on Learning Theory, 2021

Reconstructing weighted voting schemes from partial information about their power indices.
Proceedings of the Conference on Learning Theory, 2021

Learning a mixture of two subspaces over finite fields.
Proceedings of the Algorithmic Learning Theory, 2021

2020
Sharp Bounds for Population Recovery.
Theory Comput., 2020

Testing noisy linear functions for sparsity.
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020

Reconstruction under outliers for Fourier-sparse functions.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Learning from satisfying assignments under continuous distributions.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

An Efficient PTAS for Stochastic Load Balancing with Poisson Jobs.
Proceedings of the 47th International Colloquium on Automata, Languages, and Programming, 2020

2019
Noise Stability is Computable and Approximately Low-Dimensional.
Theory Comput., 2019

Kruskal-Katona for convex sets, with applications.
CoRR, 2019

Density Estimation for Shift-Invariant Multidimensional Distributions.
Proceedings of the 10th Innovations in Theoretical Computer Science Conference, 2019

Junta Correlation is Testable.
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

Is your function low dimensional?
Proceedings of the Conference on Learning Theory, 2019

2018
Simple and efficient pseudorandom generators from Gaussian processes.
Electron. Colloquium Comput. Complex., 2018

Learning sparse mixtures of rankings from noisy information.
CoRR, 2018

Is your data low-dimensional?
CoRR, 2018

Non interactive simulation of correlated distributions is decidable.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

Boolean function analysis meets stochastic optimization: An approximation scheme for stochastic knapsack.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

Learning Sums of Independent Random Variables with Sparse Collective Support.
Proceedings of the 59th IEEE Annual Symposium on Foundations of Computer Science, 2018

2017
Noise Stability is computable and low dimensional.
CoRR, 2017

Optimal mean-based algorithms for trace reconstruction.
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017

2016
Majority is Stablest: Discrete and SoS.
Theory Comput., 2016

A Robust Khintchine Inequality, and Algorithms for Computing Optimal Constants in Fourier Analysis and High-Dimensional Geometry.
SIAM J. Discret. Math., 2016

Noisy population recovery in polynomial time.
Electron. Colloquium Comput. Complex., 2016

A size-free CLT for poisson multinomials and its applications.
Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing, 2016

2015
Boolean Function Monotonicity Testing Requires (Almost) n<sup>1/2</sup> Non-adaptive Queries.
Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Learning from satisfying assignments.
Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

2014
Beyond the Central Limit Theorem: asymptotic expansions and pseudorandomness for combinatorial sums.
Electron. Colloquium Comput. Complex., 2014

A Polynomial-time Approximation Scheme for Fault-tolerant Distributed Storage.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

2013
Fast Integer Multiplication Using Modular Arithmetic.
SIAM J. Comput., 2013

Efficient deterministic approximate counting for low degree polynomial threshold functions.
Electron. Colloquium Comput. Complex., 2013

Deterministic Approximate Counting for Degree-2 Polynomial Threshold Functions.
Electron. Colloquium Comput. Complex., 2013

Deterministic Approximate Counting for Juntas of Degree-2 Polynomial Threshold Functions.
Electron. Colloquium Comput. Complex., 2013

2012
Trevisan's Extractor in the Presence of Quantum Side Information.
SIAM J. Comput., 2012

Explicit Optimal hardness via Gaussian stability results.
Electron. Colloquium Comput. Complex., 2012

The Inverse Shapley Value Problem.
Electron. Colloquium Comput. Complex., 2012

Inverse Problems in Approximate Uniform Generation.
Electron. Colloquium Comput. Complex., 2012

Nearly optimal solutions for the Chow Parameters Problem and low-weight approximation of halfspaces.
Electron. Colloquium Comput. Complex., 2012

Lower Bounds in Differential Privacy.
Proceedings of the Theory of Cryptography - 9th Theory of Cryptography Conference, 2012

2011
Extractors and Lower Bounds for Locally Samplable Sources.
Electron. Colloquium Comput. Complex., 2011

Pseudorandomness for Permutation and Regular Branching Programs.
Proceedings of the 26th Annual IEEE Conference on Computational Complexity, 2011

2010
Time Space Tradeoffs for Attacks against One-Way Functions and PRGs.
Proceedings of the Advances in Cryptology, 2010

2009
Near-optimal extractors against quantum storage.
Electron. Colloquium Comput. Complex., 2009

Non-uniform attacks against one-way functions and PRGs.
Electron. Colloquium Comput. Complex., 2009

Improved Pseudorandom Generators for Depth 2 Circuits.
Electron. Colloquium Comput. Complex., 2009

Extractors Using Hardness Amplification.
Proceedings of the Approximation, 2009


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