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Author search results
Exact matches
- N. V. Vinodchandran
aka: N. Variyam Vinodchandran
University of Nebraska-Lincoln, USA
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Publication search results
found 130 matches
- 2024
- Aduri Pavan
, Sourav Chakraborty
, N. V. Vinodchandran
, Kuldeep S. Meel
:
On the Feasibility of Forgetting in Data Streams. Proc. ACM Manag. Data 2(2): 102 (2024) - Arnab Bhattacharyya, Sutanu Gayen, Philips George John, Sayantan Sen, N. V. Vinodchandran:
Distribution Learning Meets Graph Structure Sampling. CoRR abs/2405.07914 (2024) - Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran:
Total Variation Distance for Product Distributions is #P-Complete. CoRR abs/2405.08255 (2024) - 2023
- A. Pavan, N. V. Vinodchandran, Arnab Bhattacharyya, Kuldeep S. Meel:
Model Counting Meets Distinct Elements. Commun. ACM 66(9): 95-102 (2023) - Arnab Bhattacharyya, Sutanu Gayen
, Eric Price, Vincent Y. F. Tan
, N. V. Vinodchandran
:
Near-Optimal Learning of Tree-Structured Distributions by Chow and Liu. SIAM J. Comput. 52(3): 761-793 (2023) - A. Pavan
, N. Variyam Vinodchandran
, Arnab Bhattacharyya
, Kuldeep S. Meel
:
Model Counting Meets F0 Estimation. ACM Trans. Database Syst. 48(3): 7:1-7:28 (2023) - Aduri Pavan
, Kuldeep S. Meel, N. V. Vinodchandran
, Arnab Bhattacharyya:
Constraint Optimization over Semirings. AAAI 2023: 4070-4077 - Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran
:
On Approximating Total Variation Distance. IJCAI 2023: 3479-3487 - Peter Dixon, Aduri Pavan, Jason Vander Woude, N. V. Vinodchandran:
List and Certificate Complexities in Replicable Learning. NeurIPS 2023 - Michael Chen, A. Pavan, N. V. Vinodchandran:
Brief Announcement: Relations Between Space-Bounded and Adaptive Massively Parallel Computations. DISC 2023: 37:1-37:7 - Sourav Chakraborty, N. V. Vinodchandran, Kuldeep S. Meel:
Distinct Elements in Streams: An Algorithm for the (Text) Book. CoRR abs/2301.10191 (2023) - Aduri Pavan, Kuldeep S. Meel, N. V. Vinodchandran, Arnab Bhattacharyya:
Constraint Optimization over Semirings. CoRR abs/2302.12937 (2023) - Peter Dixon, A. Pavan
, Jason Vander Woude, N. V. Vinodchandran:
List and Certificate Complexities in Replicable Learning. CoRR abs/2304.02240 (2023) - Jason Vander Woude, Peter Dixon, Aduri Pavan
, Jamie Radcliffe, N. V. Vinodchandran:
Geometry of Rounding: Near Optimal Bounds and a New Neighborhood Sperner's Lemma. CoRR abs/2304.04837 (2023) - Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran:
Total Variation Distance Estimation Is as Easy as Probabilistic Inference. CoRR abs/2309.09134 (2023) - Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran:
Total Variation Distance Estimation Is as Easy as Probabilistic Inference. Electron. Colloquium Comput. Complex. TR23 (2023) - 2022
- Aduri Pavan, N. V. Vinodchandran
, Arnab Bhattacharyya, Kuldeep S. Meel:
Model Counting Meets Distinct Elements in a Data Stream. SIGMOD Rec. 51(1): 87-94 (2022) - Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Vedant Raval, N. Variyam Vinodchandran:
Efficient interventional distribution learning in the PAC framework. AISTATS 2022: 7531-7549 - Sourav Chakraborty, N. V. Vinodchandran, Kuldeep S. Meel:
Distinct Elements in Streams: An Algorithm for the (Text) Book. ESA 2022: 34:1-34:6 - Eduard Baranov, Sourav Chakraborty, Axel Legay, Kuldeep S. Meel, N. Variyam Vinodchandran:
A Scalable t-wise Coverage Estimator. ICSE 2022: 36-47 - Kuldeep S. Meel, Sourav Chakraborty, N. V. Vinodchandran
:
Estimation of the Size of Union of Delphic Sets: Achieving Independence from Stream Size. PODS 2022: 41-52 - Peter Dixon, Aduri Pavan
, Jason Vander Woude, N. V. Vinodchandran
:
Pseudodeterminism: promises and lowerbounds. STOC 2022: 1552-1565 - Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, Aduri Pavan, N. V. Vinodchandran:
On Approximating Total Variation Distance. CoRR abs/2206.07209 (2022) - Jason Vander Woude, Peter Dixon, Aduri Pavan, Jamie Radcliffe, N. V. Vinodchandran:
Geometry of Rounding. CoRR abs/2211.02694 (2022) - Jason Vander Woude, Peter Dixon, A. Pavan, Jamie Radcliffe, N. V. Vinodchandran:
The Geometry of Rounding. Electron. Colloquium Comput. Complex. TR22 (2022) - 2021
- Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, N. V. Vinodchandran:
Testing Product Distributions: A Closer Look. ALT 2021: 367-396 - Peter Dixon, A. Pavan
, N. V. Vinodchandran:
Complete Problems for Multi-Pseudodeterministic Computations. ITCS 2021: 66:1-66:16 - Kuldeep S. Meel, N. V. Vinodchandran
, Sourav Chakraborty:
Estimating the Size of Union of Sets in Streaming Models. PODS 2021: 126-137 - Aduri Pavan
, N. V. Vinodchandran
, Arnab Bhattacharyya, Kuldeep S. Meel:
Model Counting meets F0 Estimation. PODS 2021: 299-311 - Arnab Bhattacharyya, Sutanu Gayen
, Eric Price, N. V. Vinodchandran
:
Near-optimal learning of tree-structured distributions by Chow-Liu. STOC 2021: 147-160
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