Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. - Kaushik Sinha; Xuan Zhang; Ruoming Jin; Gagan Agrawal (BIBE, 2005)

Learning Layouts of Biological Datasets Semi-automatically. - Kaushik Sinha; Xuan Zhang; Ruoming Jin; Gagan Agrawal (DILS, 2005)

Simultaneous optimization of complex mining tasks with a knowledgeable cache. - Ruoming Jin; Kaushik Sinha; Gagan Agrawal (KDD, 2005)

A framework to support multiple query optimization for complex mining tasks. - Ruoming Jin; Kaushik Sinha; Gagan Agrawal (MDM@KDD, 2005)

Exploratory Tools for FollowUp Studies to Microarray Experiments. - Kaushik Sinha; Ruoming Jin; Gagan Agrawal; Helen Piontkivska (BIBE, 2006)

The Value of Labeled and Unlabeled Examples when the Model is Imperfect. - Kaushik Sinha; Mikhail Belkin (NIPS, 2007)

A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow. - Alfredo García 001; Stephen D. Patek; Kaushik Sinha (Oper. Res., 2007)

Semi-supervised Learning using Sparse Eigenfunction Bases. - Kaushik Sinha; Mikhail Belkin (NIPS, 2009)

Learning Gaussian Mixtures with Arbitrary Separation - Mikhail Belkin; Kaushik Sinha (CoRR, 2009)

Toward Learning Gaussian Mixtures with Arbitrary Separation. - Mikhail Belkin; Kaushik Sinha (COLT, 2010)

Near-optimal Differentially Private Principal Components. - Kamalika Chaudhuri; Anand D. Sarwate; Kaushik Sinha (NIPS, 2012)

Near-Optimal Algorithms for Differentially-Private Principal Components - Kamalika Chaudhuri; Anand D. Sarwate; Kaushik Sinha (CoRR, 2012)

Randomized partition trees for exact nearest neighbor search. - Sanjoy Dasgupta; Kaushik Sinha (COLT, 2013)

A network-based structural complexity metric for engineered complex systems. - Kaushik Sinha; Olivier L. de Weck (SysCon, 2013)

A near-optimal algorithm for differentially-private principal components. - Kamalika Chaudhuri; Anand D. Sarwate; Kaushik Sinha (J. Mach. Learn. Res., 2013)

Semi-Supervised Learning. - Kaushik Sinha (Data Classification: Algorithms and Applications, 2014)

LSH vs Randomized Partition Trees: Which One to Use for Nearest Neighbor Search? - Kaushik Sinha (ICMLA, 2014)

Fast £1-norm Nearest Neighbor Search Using A Simple Variant of Randomized Partition Tree. - Kaushik Sinha (INNS Conference on Big Data, 2015)

Randomized Partition Trees for Nearest Neighbor Search. - Sanjoy Dasgupta; Kaushik Sinha (Algorithmica, 2015)

Polynomial Learning of Distribution Families. - Mikhail Belkin; Kaushik Sinha (SIAM J. Comput., 2015)

Complexity Management for Engineered Systems Using System Value Definition. - Kaushik Sinha; Narek R. Shougarian; Olivier L. de Weck (CSDM, 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 (CSDM, 2016)

Matrix Energy as a Measure of Topological Complexity of a Graph. - Kaushik Sinha; Olivier L. de Weck (CoRR, 2016)

Empirical Validation of Structural Complexity Metric and Complexity Management for Engineering Systems. - Kaushik Sinha; Olivier L. de Weck (Syst. Eng., 2016)

Sparse Randomized Partition Trees for Nearest Neighbor Search. - Kaushik Sinha; Omid Keivani (AISTATS, 2017)

A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down Syndrome. - Tara Eicher; Kaushik Sinha (IJCNN, 2017)

A novel machine learning framework for phenotype prediction based on genome-wide DNA methylation data. - Vinay Vittal Karagod; Kaushik Sinha (IJCNN, 2017)

Improved maximum inner product search with better theoretical guarantees. - Omid Keivani; Kaushik Sinha; Parikshit Ram (IJCNN, 2017)

Improved nearest neighbor search using auxiliary information and priority functions. - Omid Keivani; Kaushik Sinha (ICML, 2018)

K-means clustering using random matrix sparsification. - Kaushik Sinha (ICML, 2018)

Robotic Understanding of Scene Contents and Spatial Constraints. - Dustin Wilson; Fujian Yan; Kaushik Sinha; Hongsheng He (ICSR, 2018)

Improved maximum inner product search with better theoretical guarantee using randomized partition trees. - Omid Keivani; Kaushik Sinha; Parikshit Ram (Mach. Learn., 2018)

Revisiting kd-tree for Nearest Neighbor Search. - Parikshit Ram; Kaushik Sinha (KDD, 2019)

IBeaconMap: Automated Indoor Space Representation for Beacon-Based Wayfinding. - Seyed Ali Cheraghi; Vinod Namboodiri; Kaushik Sinha (ICCHP (1), 2020)

Neural Neighborhood Encoding for Classification. - Kaushik Sinha; Parikshit Ram (CoRR, 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)

Fruit-fly Inspired Neighborhood Encoding for Classification. - Kaushik Sinha; Parikshit Ram (KDD, 2021)

Federated Nearest Neighbor Classification with a Colony of Fruit-Flies: With Supplement. - Parikshit Ram; Kaushik Sinha (CoRR, 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. - Parikshit Ram; Kaushik Sinha (AAAI, 2022)

Domain Mapping Matrix-Based Metric for Measuring System Design Complexity. - Sungjoon Jung; Kaushik Sinha; Eun Suk Suh (IEEE Trans. Engineering Management, 2022)

Non-parametric classification via expand-and-sparsify representation. - Kaushik Sinha (NeurIPS, 2024)