Kaushik Sinha

According to our database, Kaushik Sinha authored at least 41 papers between 2005 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Domain Mapping Matrix-Based Metric for Measuring System Design Complexity.

Sungjoon Jung, Kaushik Sinha, Eun Suk Suh

IEEE Trans. Engineering Management, 2022

Federated Nearest Neighbor Classification with a Colony of Fruit-Flies.

Parikshit Ram, Kaushik Sinha

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Random projection-based auxiliary information can improve tree-based nearest neighbor search.

Omid Keivani, Kaushik Sinha

Inf. Sci., 2021

Federated Nearest Neighbor Classification with a Colony of Fruit-Flies: With Supplement.

Parikshit Ram, Kaushik Sinha

CoRR, 2021

Fruit-fly Inspired Neighborhood Encoding for Classification.

Kaushik Sinha, Parikshit Ram

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Design structure matrix-based modularization approach for complex systems with multiple design constraints.

Kaushik Sinha, Seok-Youn Han, Eun Suk Suh

Syst. Eng., 2020

Neural Neighborhood Encoding for Classification.

Kaushik Sinha, Parikshit Ram

CoRR, 2020

IBeaconMap: Automated Indoor Space Representation for Beacon-Based Wayfinding.

Seyed Ali Cheraghi, Vinod Namboodiri, Kaushik Sinha

Proceedings of the Computers Helping People with Special Needs, 2020

2019

Revisiting kd-tree for Nearest Neighbor Search.

Parikshit Ram, Kaushik Sinha

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Improved maximum inner product search with better theoretical guarantee using randomized partition trees.

Omid Keivani, Kaushik Sinha, Parikshit Ram

Mach. Learn., 2018

Robotic Understanding of Scene Contents and Spatial Constraints.

Dustin Wilson, Fujian Yan, Kaushik Sinha, Hongsheng He

Proceedings of the Social Robotics - 10th International Conference, 2018

K-means clustering using random matrix sparsification.

Kaushik Sinha

Proceedings of the 35th International Conference on Machine Learning, 2018

Improved nearest neighbor search using auxiliary information and priority functions.

Omid Keivani, Kaushik Sinha

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Improved maximum inner product search with better theoretical guarantees.

Omid Keivani, Kaushik Sinha, Parikshit Ram

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A novel machine learning framework for phenotype prediction based on genome-wide DNA methylation data.

Vinay Vittal Karagod, Kaushik Sinha

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down Syndrome.

Tara Eicher, Kaushik Sinha

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Sparse Randomized Partition Trees for Nearest Neighbor Search.

Kaushik Sinha, Omid Keivani

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Empirical Validation of Structural Complexity Metric and Complexity Management for Engineering Systems.

Kaushik Sinha, Olivier L. de Weck

Syst. Eng., 2016

Matrix Energy as a Measure of Topological Complexity of a Graph.

Kaushik Sinha, Olivier L. de Weck

CoRR, 2016

Exploring Early Stage Cost-Estimation Methods Using Off-the-Shelf Tools: A Preliminary Study.

Haifeng Zhu, Narek R. Shougarian, Greg Ojard, Kaushik Sinha, Oliver de Weck, Eileen Arnold

Proceedings of the Complex Systems Design & Management, 2016

Complexity Management for Engineered Systems Using System Value Definition.

Kaushik Sinha, Narek R. Shougarian, Olivier L. de Weck

Proceedings of the Complex Systems Design & Management, 2016

2015

Polynomial Learning of Distribution Families.

Mikhail Belkin, Kaushik Sinha

SIAM J. Comput., 2015

Randomized Partition Trees for Nearest Neighbor Search.

Sanjoy Dasgupta, Kaushik Sinha

Algorithmica, 2015

Fast £1-norm Nearest Neighbor Search Using A Simple Variant of Randomized Partition Tree.

Kaushik Sinha

Proceedings of the INNS Conference on Big Data 2015, 2015

2014

LSH vs Randomized Partition Trees: Which One to Use for Nearest Neighbor Search?

Kaushik Sinha

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Semi-Supervised Learning.

Kaushik Sinha

Proceedings of the Data Classification: Algorithms and Applications, 2014

2013

A near-optimal algorithm for differentially-private principal components.

Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha

J. Mach. Learn. Res., 2013

A network-based structural complexity metric for engineered complex systems.

Kaushik Sinha, Olivier L. de Weck

Proceedings of the IEEE International Systems Conference, 2013

Randomized partition trees for exact nearest neighbor search.

Sanjoy Dasgupta, Kaushik Sinha

Proceedings of the COLT 2013, 2013

2012

Near-Optimal Algorithms for Differentially-Private Principal Components

Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha

CoRR, 2012

Near-optimal Differentially Private Principal Components.

Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2010

Toward Learning Gaussian Mixtures with Arbitrary Separation.

Mikhail Belkin, Kaushik Sinha

Proceedings of the COLT 2010, 2010

2009

Learning Gaussian Mixtures with Arbitrary Separation

Mikhail Belkin, Kaushik Sinha

CoRR, 2009

Semi-supervised Learning using Sparse Eigenfunction Bases.

Kaushik Sinha, Mikhail Belkin

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2007

A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow.

Alfredo García, Stephen D. Patek, Kaushik Sinha

Oper. Res., 2007

The Value of Labeled and Unlabeled Examples when the Model is Imperfect.

Kaushik Sinha, Mikhail Belkin

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Exploratory Tools for Follow­Up Studies to Microarray Experiments.

Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska

Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

2005

A framework to support multiple query optimization for complex mining tasks.

Ruoming Jin, Kaushik Sinha, Gagan Agrawal

Proceedings of the 6th international workshop on Multimedia data mining, 2005

Simultaneous optimization of complex mining tasks with a knowledgeable cache.

Ruoming Jin, Kaushik Sinha, Gagan Agrawal

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Learning Layouts of Biological Datasets Semi-automatically.

Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal

Proceedings of the Data Integration in the Life Sciences, Second InternationalWorkshop, 2005

Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets.

Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal

Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005