N. V. Vinodchandran

Orcid: 0000-0001-7959-4662

Affiliations:
  • University of Nebraska-Lincoln, USA


According to our database1, N. V. Vinodchandran authored at least 99 papers between 1994 and 2024.

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Bibliography

2024
A Scalable $t$t-Wise Coverage Estimator: Algorithms and Applications.
IEEE Trans. Software Eng., August, 2024

On the Feasibility of Forgetting in Data Streams.
Proc. ACM Manag. Data, 2024

Point Prediction for Streaming Data.
CoRR, 2024

Total Variation Distance for Product Distributions is #P-Complete.
CoRR, 2024

Distribution Learning Meets Graph Structure Sampling.
CoRR, 2024

Total Variation Distance Meets Probabilistic Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improved Streaming Algorithm for the Klee's Measure Problem and Generalizations.
Proceedings of the Approximation, 2024

2023
Model Counting Meets <i>F</i><sub>0</sub> Estimation.
ACM Trans. Database Syst., September, 2023

Model Counting Meets Distinct Elements.
Commun. ACM, September, 2023

Near-Optimal Learning of Tree-Structured Distributions by Chow and Liu.
SIAM J. Comput., June, 2023

Total Variation Distance Estimation Is as Easy as Probabilistic Inference.
Electron. Colloquium Comput. Complex., 2023

Geometry of Rounding: Near Optimal Bounds and a New Neighborhood Sperner's Lemma.
CoRR, 2023

Brief Announcement: Relations Between Space-Bounded and Adaptive Massively Parallel Computations.
Proceedings of the 37th International Symposium on Distributed Computing, 2023

List and Certificate Complexities in Replicable Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Approximating Total Variation Distance.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Constraint Optimization over Semirings.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Model Counting Meets Distinct Elements in a Data Stream.
SIGMOD Rec., 2022

The Geometry of Rounding.
Electron. Colloquium Comput. Complex., 2022

Pseudodeterminism: promises and lowerbounds.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Estimation of the Size of Union of Delphic Sets: Achieving Independence from Stream Size.
Proceedings of the PODS '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

A Scalable t-wise Coverage Estimator.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Distinct Elements in Streams: An Algorithm for the (Text) Book.
Proceedings of the 30th Annual European Symposium on Algorithms, 2022

Efficient interventional distribution learning in the PAC framework.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Promise Problems Meet Pseudodeterminism.
Electron. Colloquium Comput. Complex., 2021

Efficient inference of interventional distributions.
CoRR, 2021

Model Counting meets F0 Estimation.
CoRR, 2021

Near-optimal learning of tree-structured distributions by Chow-Liu.
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

Model Counting meets F<sub>0</sub> Estimation.
Proceedings of the PODS'21: Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2021

Estimating the Size of Union of Sets in Streaming Models.
Proceedings of the PODS'21: Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2021

Complete Problems for Multi-Pseudodeterministic Computations.
Proceedings of the 12th Innovations in Theoretical Computer Science Conference, 2021

Testing Product Distributions: A Closer Look.
Proceedings of the Algorithmic Learning Theory, 2021

2020
Perfect Zero Knowledge: New Upperbounds and Relativized Separations.
IACR Cryptol. ePrint Arch., 2020

Efficiently Learning and Sampling Interventional Distributions from Observations.
CoRR, 2020

Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning and Sampling of Atomic Interventions from Observations.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
A Sublinear-space and Polynomial-time Separator Algorithm for Planar Graphs.
Electron. Colloquium Comput. Complex., 2019

2018
New Bounds for the CLIQUE-GAP Problem Using Graph Decomposition Theory.
Algorithmica, 2018

New Algorithms for Distributed Sliding Windows.
Proceedings of the 16th Scandinavian Symposium and Workshops on Algorithm Theory, 2018

On Pseudodeterministic Approximation Algorithms.
Proceedings of the 43rd International Symposium on Mathematical Foundations of Computer Science, 2018

KmerEstimate: A Streaming Algorithm for Estimating k-mer Counts with Optimal Space Usage.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Fractal features for automatic detection of dysarthria.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Budgeted testing through an algorithmic lens.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Constrained Group Testing to Predict Binding Response of Candidate Compounds.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

A Note on the Advice Complexity of Multipass Randomized Logspace.
Proceedings of the 41st International Symposium on Mathematical Foundations of Computer Science, 2016

Algorithms for k-median Clustering over Distributed Streams.
Proceedings of the Computing and Combinatorics - 22nd International Conference, 2016

Computing triangle and open-wedge heavy-hitters in large networks.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
On Optimal Language Compression for Sets in PSPACE/poly.
Theory Comput. Syst., 2015

On Probabilistic Space-Bounded Machines with Multiple Access to Random Tape.
Proceedings of the Mathematical Foundations of Computer Science 2015, 2015

2014
Space Complexity of the Directed Reachability Problem over Surface-Embedded Graphs.
Electron. Colloquium Comput. Complex., 2014

New Time-Space Upperbounds for Directed Reachability in High-genus and H-minor-free Graphs.
Electron. Colloquium Comput. Complex., 2014

ReachFewL = ReachUL.
Comput. Complex., 2014

2013
An O(n½+∑)-Space and Polynomial-Time Algorithm for Directed Planar Reachability.
Proceedings of the 28th Conference on Computational Complexity, 2013

2012
Space complexity of perfect matching in bounded genus bipartite graphs.
J. Comput. Syst. Sci., 2012

On the power of unambiguity in log-space.
Comput. Complex., 2012

2010
Green's Theorem and Isolation in Planar Graphs.
Electron. Colloquium Comput. Complex., 2010

Space-Efficient Algorithms for Reachability in Surface-Embedded Graphs.
Electron. Colloquium Comput. Complex., 2010

On the Power of Unambiguity in Logspace.
Electron. Colloquium Comput. Complex., 2010

Resource-bounded Dimension in Computational Learning Theory
CoRR, 2010

A Log-Space Algorithm for Reachability in Planar Acyclic Digraphs with Few Sources.
Proceedings of the 25th Annual IEEE Conference on Computational Complexity, 2010

2009
Directed Planar Reachability Is in Unambiguous Log-Space.
ACM Trans. Comput. Theory, 2009

A log-space algorithm for reachability in planar DAGs with few sources.
Electron. Colloquium Comput. Complex., 2009

Kolmogorov Complexity in Randomness Extraction.
Electron. Colloquium Comput. Complex., 2009

2008
An efficient and attack-resistant key agreement scheme for secure group communications in mobile ad-hoc networks.
Wirel. Commun. Mob. Comput., 2008

Kernels for Generalized Multiple-Instance Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Relations between Average-Case and Worst-Case Complexity.
Theory Comput. Syst., 2008

Partial Bi-immunity, Scaled Dimension, and NP-Completeness.
Theory Comput. Syst., 2008

On reoptimizing multi-class classifiers.
Mach. Learn., 2008

2-Local Random Reductions to 3-Valued Functions.
Comput. Complex., 2008

2007
Polylogarithmic-round interactive proofs for coNP collapse the exponential hierarchy.
Theor. Comput. Sci., 2007

2006
Computational depth: Concept and applications.
Theor. Comput. Sci., 2006

Dimension, entropy rates, and compression.
J. Comput. Syst. Sci., 2006

A New Cryptographic Scheme for Securing Dynamic Conferences in Data Networks.
Proceedings of IEEE International Conference on Communications, 2006

Some Results on Average-Case Hardness Within the Polynomial Hierarchy.
Proceedings of the FSTTCS 2006: Foundations of Software Technology and Theoretical Computer Science, 2006

2005
A note on the circuit complexity of PP.
Theor. Comput. Sci., 2005

Entropy rates and finite-state dimension.
Theor. Comput. Sci., 2005

Nondeterministic circuit minimization problem and derandomizing Arthur-Merlin games.
Int. J. Found. Comput. Sci., 2005

Extracting Kolmogorov Complexity with Applications to Dimension Zero-One Laws
Electron. Colloquium Comput. Complex., 2005

Derandomizing Arthur-Merlin Games using Hitting Sets.
Comput. Complex., 2005

A balanced key tree approach for dynamic secure group communication.
Proceedings of the 14th International Conference On Computer Communications and Networks, 2005

CRTDH: an efficient key agreement scheme for secure group communications in wireless ad hoc networks.
Proceedings of IEEE International Conference on Communications, 2005

On computing disjoint paths with dependent cost structure in optical networks.
Proceedings of the 2nd International Conference on Broadband Networks (BROADNETS 2005), 2005

2004
Counting Complexity of Solvable Black-Box Group Problems.
SIAM J. Comput., 2004

AM<sub>exp</sub>[nsube](NP[cap]coNP)/poly.
Inf. Process. Lett., 2004

Polylogarithmic Round Arthur-Merlin Games and Random-Self-Reducibility
Electron. Colloquium Comput. Complex., 2004

An Extended Kernel for Generalized Multiple-Instance Learning.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

SVM-based generalized multiple-instance learning via approximate box counting.
Proceedings of the Machine Learning, 2004

Learning DNFs and Circuits Using Teaching Assistants.
Proceedings of the Computing and Combinatorics, 10th Annual International Conference, 2004

Partial Bi-immunity and NP-Completeness.
Proceedings of the 19th Annual IEEE Conference on Computational Complexity (CCC 2004), 2004

2003
Using Depth to Capture Average-Case Complexity.
Proceedings of the Fundamentals of Computation Theory, 14th International Symposium, 2003

2002
The Query Complexity of Program Checking by Constant-Depth Circuits.
Chic. J. Theor. Comput. Sci., 2002

2000
The counting complexity of group-definable languages.
Theor. Comput. Sci., 2000

Exact learning via teaching assistants.
Theor. Comput. Sci., 2000

1999
Super-Polynomial Versus Half-Exponential Circuit Size in the Exponential Hierarchy.
Proceedings of the Computing and Combinatorics, 5th Annual International Conference, 1999

1997
Solvable Black-Box Group Problems are Low for PP.
Theor. Comput. Sci., 1997

Improved Lowness Results for Solvable Black-box Group Problems.
Proceedings of the Foundations of Software Technology and Theoretical Computer Science, 1997

Exact Learning via Teaching Assistants (Extended Abstract).
Proceedings of the Algorithmic Learning Theory, 8th International Conference, 1997

1996
The Complexity of Exactly Learning Algebraic Concepts. (Extended Abstract).
Proceedings of the Algorithmic Learning Theory, 7th International Workshop, 1996

1995
A Note on Mod and Generalised Mod Classes.
Inf. Process. Lett., 1995

1994
A Note on SpanP Functions.
Inf. Process. Lett., 1994


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