Kaushik Sinha

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 25

Top Topics

Auxiliary Information

Nearest Neighbor

Empirical Validation

Top Venues

Publications

Parikshit Ram, Kaushik Sinha
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies. AAAI (2022)
Sungjoon Jung, Kaushik Sinha, Eun Suk Suh
Domain Mapping Matrix-Based Metric for Measuring System Design Complexity. IEEE Trans. Engineering Management 69 (5) (2022)
Kaushik Sinha, Parikshit Ram
Fruit-fly Inspired Neighborhood Encoding for Classification. KDD (2021)
Omid Keivani, Kaushik Sinha
Random projection-based auxiliary information can improve tree-based nearest neighbor search. Inf. Sci. 546 (2021)
Parikshit Ram, Kaushik Sinha
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies: With Supplement. CoRR (2021)
Seyed Ali Cheraghi, Vinod Namboodiri, Kaushik Sinha
IBeaconMap: Automated Indoor Space Representation for Beacon-Based Wayfinding. ICCHP (1) (2020)
Kaushik Sinha, Parikshit Ram
Neural Neighborhood Encoding for Classification. CoRR (2020)
Kaushik Sinha, Seok-Youn Han, Eun Suk Suh
Design structure matrix-based modularization approach for complex systems with multiple design constraints. Syst. Eng. 23 (2) (2020)
Parikshit Ram, Kaushik Sinha
Revisiting kd-tree for Nearest Neighbor Search. KDD (2019)
Dustin Wilson, Fujian Yan, Kaushik Sinha, Hongsheng He
Robotic Understanding of Scene Contents and Spatial Constraints. ICSR (2018)
Omid Keivani, Kaushik Sinha, Parikshit Ram
Improved maximum inner product search with better theoretical guarantee using randomized partition trees. Mach. Learn. 107 (6) (2018)
Omid Keivani, Kaushik Sinha
Improved nearest neighbor search using auxiliary information and priority functions. ICML (2018)
Kaushik Sinha
K-means clustering using random matrix sparsification. ICML (2018)
Seyed Ali Cheraghi, Vinod Namboodiri, Kaushik Sinha
IBeaconMap: Automated Indoor Space Representation for Beacon-Based Wayfinding. CoRR (2018)
Vinay Vittal Karagod, Kaushik Sinha
A novel machine learning framework for phenotype prediction based on genome-wide DNA methylation data. IJCNN (2017)
Omid Keivani, Kaushik Sinha, Parikshit Ram
Improved maximum inner product search with better theoretical guarantees. IJCNN (2017)
Kaushik Sinha, Omid Keivani
Sparse Randomized Partition Trees for Nearest Neighbor Search. AISTATS (2017)
Tara Eicher, Kaushik Sinha
A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down Syndrome. IJCNN (2017)
Kaushik Sinha, Olivier L. de Weck
Empirical Validation of Structural Complexity Metric and Complexity Management for Engineering Systems. Syst. Eng. 19 (3) (2016)
Haifeng Zhu, Narek R. Shougarian, Greg Ojard, Kaushik Sinha, Oliver de Weck, Eileen Arnold
Exploring Early Stage Cost-Estimation Methods Using Off-the-Shelf Tools: A Preliminary Study. CSDM (2016)
Kaushik Sinha, Narek R. Shougarian, Olivier L. de Weck
Complexity Management for Engineered Systems Using System Value Definition. CSDM (2016)
Kaushik Sinha, Olivier L. de Weck
Matrix Energy as a Measure of Topological Complexity of a Graph. CoRR (2016)
Sanjoy Dasgupta, Kaushik Sinha
Randomized Partition Trees for Nearest Neighbor Search. Algorithmica 72 (1) (2015)
Kaushik Sinha
Fast £1-norm Nearest Neighbor Search Using A Simple Variant of Randomized Partition Tree. INNS Conference on Big Data (2015)
Mikhail Belkin, Kaushik Sinha
Polynomial Learning of Distribution Families. SIAM J. Comput. 44 (4) (2015)
Kaushik Sinha
LSH vs Randomized Partition Trees: Which One to Use for Nearest Neighbor Search? ICMLA (2014)
Sanjoy Dasgupta, Kaushik Sinha
Randomized partition trees for exact nearest neighbor search CoRR (2013)
Kaushik Sinha, Olivier L. de Weck
A network-based structural complexity metric for engineered complex systems. SysCon (2013)
Sanjoy Dasgupta, Kaushik Sinha
Randomized partition trees for exact nearest neighbor search. COLT (2013)
Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
A near-optimal algorithm for differentially-private principal components. J. Mach. Learn. Res. 14 (1) (2013)
Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
Near-Optimal Algorithms for Differentially-Private Principal Components CoRR (2012)
Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha
Near-optimal Differentially Private Principal Components. NIPS (2012)
Mikhail Belkin, Kaushik Sinha
Toward Learning Gaussian Mixtures with Arbitrary Separation. COLT (2010)
Mikhail Belkin, Kaushik Sinha
Polynomial Learning of Distribution Families CoRR (2010)
Mikhail Belkin, Kaushik Sinha
Polynomial Learning of Distribution Families. FOCS (2010)
Kaushik Sinha, Mikhail Belkin
Semi-supervised Learning using Sparse Eigenfunction Bases. NIPS (2009)
Mikhail Belkin, Kaushik Sinha
Learning Gaussian Mixtures with Arbitrary Separation CoRR (2009)
Kaushik Sinha, Mikhail Belkin
Semi-Supervised Learning Using Sparse Eigenfunction Bases. AAAI Fall Symposium: Manifold Learning and Its Applications (2009)
Kaushik Sinha, Mikhail Belkin
The Value of Labeled and Unlabeled Examples when the Model is Imperfect. NIPS (2007)
Alfredo García, Stephen D. Patek, Kaushik Sinha
A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow. Oper. Res. 55 (4) (2007)
Kaushik Sinha, Ruoming Jin, Gagan Agrawal, Helen Piontkivska
Exploratory Tools for FollowUp Studies to Microarray Experiments. BIBE (2006)
Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal
Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets. BIBE (2005)
Kaushik Sinha, Xuan Zhang, Ruoming Jin, Gagan Agrawal
Learning Layouts of Biological Datasets Semi-automatically. DILS (2005)
Ruoming Jin, Kaushik Sinha, Gagan Agrawal
A framework to support multiple query optimization for complex mining tasks. MDM@KDD (2005)
Ruoming Jin, Kaushik Sinha, Gagan Agrawal
Simultaneous optimization of complex mining tasks with a knowledgeable cache. KDD (2005)