Rameshwar Pratap

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 49

Top Topics

Ensemble Learning

Dimensionality Reduction

Hashing Algorithm

Efficient Compression

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Bhisham Dev Verma, Rameshwar Pratap, Manoj Thakur
Unbiased estimation of inner product via higher order count sketch. Inf. Process. Lett. 183 (2024)
Bhisham Dev Verma, Rameshwar Pratap
Improving LSH via Tensorized Random Projection. CoRR (2024)
Rameshwar Pratap, Raghav Kulkarni
Minwise-Independent Permutations with Insertion and Deletion of Features. CoRR (2023)
Rameshwar Pratap, Raghav Kulkarni
Minwise-Independent Permutations with Insertion and Deletion of Features. SISAP (2023)
Amit Deshpande, Rameshwar Pratap
Improved Outlier Robust Seeding for k-means. CoRR (2023)
Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma
Dimensionality Reduction for Categorical Data. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Gopal Chamarthi, Adarsh Patel, Rameshwar Pratap
Random Projection Based Efficient Detector in Massive MIMO Communication Networks. SPAWC (2023)
Gopal Chamarthi, Adarsh Patel, Rameshwar Pratap
Towards obtaining SEP via Orthogonality of Projection Matrix in massive MIMO Networks. ANTS (2023)
Amit Deshpande, Rameshwar Pratap
Subspace Approximation and (k, p)-Clustering. Algorithmica 85 (10) (2023)
Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty
QUINT: Node Embedding Using Network Hashing. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Eric Allender, Nikhil Balaji, Samir Datta, Rameshwar Pratap
On the complexity of algebraic numbers, and the bit-complexity of straight-line programs. Comput. 12 (2) (2023)
Bhisham Dev Verma, Rameshwar Pratap, Manoj Thakur
Variance reduction in feature hashing using MLE and control variate method. Mach. Learn. 111 (7) (2022)
Punit Pankaj Dubey, Bhisham Dev Verma, Rameshwar Pratap, Keegan Kang
Improving sign-random-projection via count sketch. UAI (2022)
Amit Deshpande, Rameshwar Pratap
subspace approximation. CoRR (2022)
Amit Deshpande, Rameshwar Pratap
Subspace Approximation. ICALP (2022)
Bhisham Dev Verma, Rameshwar Pratap, Debajyoti Bera
Efficient binary embedding of categorical data using BinSketch. Data Min. Knowl. Discov. 36 (2) (2022)
Rameshwar Pratap, Bhisham Dev Verma, Raghav Kulkarni
Improving \textit{Tug-of-War} sketch using Control-Variates method. CoRR (2022)
Eric Allender, Nikhil Balaji, Samir Datta, Rameshwar Pratap
On the Complexity of Algebraic Numbers, and the Bit-Complexity of Straight-Line Programs. Electron. Colloquium Comput. Complex. (2022)
Bhisham Dev Verma, Rameshwar Pratap, Debajyoti Bera
Efficient Binary Embedding of Categorical Data using BinSketch. CoRR (2021)
Rameshwar Pratap, Bhisham Dev Verma, Raghav Kulkarni
sketch using Control-Variates method. ACDA (2021)
Rameshwar Pratap, Raghav Kulkarni
Variance reduction in frequency estimators via control variates method. UAI (2021)
Rameshwar Pratap, Suryakant Bhardwaj, Hrushikesh Sudam Sarode, Raghav Kulkarni
Feature Hashing with Insertion and Deletion of Features. IEEE BigData (2021)
Amit Deshpande, Rameshwar Pratap
On Subspace Approximation and Subset Selection in Fewer Passes by MCMC Sampling. CoRR (2021)
Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty
QUINT: Node embedding using network hashing. CoRR (2021)
Amit Deshpande, Rameshwar Pratap
Sampling-based dimension reduction for subspace approximation with outliers. Theor. Comput. Sci. 858 (2021)
Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma
Dimensionality Reduction for Categorical Data. CoRR (2021)
Keegan Kang, Sergey Kushnarev, Wong Wei Pin, Rameshwar Pratap, Haikal Yeo, Yijia Chen
Improving Hashing Algorithms for Similarity Search \textitvia MLE and the Control Variates Trick. ACML (2021)
Amit Deshpande, Praneeth Kacham, Rameshwar Pratap
Robust k-means++. UAI (2020)
Rameshwar Pratap, Karthik Revanuru, Anirudh Ravi, Raghav Kulkarni
Efficient Compression Algorithm for Multimedia Data. BigMM (2020)
Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi
Scaling up Simhash. ACML (2020)
Avantika Singh, Pratyush Gaurav, Chirag Vashist, Aditya Nigam, Rameshwar Pratap
IHashNet: Iris Hashing Network based on efficient multi-index hashing. IJCB (2020)
Avantika Singh, Chirag Vashist, Pratyush Gaurav, Aditya Nigam, Rameshwar Pratap
IHashNet: Iris Hashing Network based on efficient multi-index hashing. CoRR (2020)
Rameshwar Pratap, Karthik Revanuru, Anirudh Ravi, Raghav Kulkarni
Randomness Efficient Feature Hashing for Sparse Binary Data. ACML (2020)
Amit Deshpande, Rameshwar Pratap
Subspace Approximation with Outliers. COCOON (2020)
Amit Deshpande, Rameshwar Pratap
Subspace approximation with outliers. CoRR (2020)
Rameshwar Pratap, Debajyoti Bera, Karthik Revanuru
Efficient Sketching Algorithm for Sparse Binary Data. CoRR (2019)
Rameshwar Pratap, Debajyoti Bera, Karthik Revanuru
Efficient Sketching Algorithm for Sparse Binary Data. ICDM (2019)
Rameshwar Pratap, Raghav Kulkarni, Ishan Sohony
Efficient Dimensionality Reduction for Sparse Binary Data. IEEE BigData (2018)
Rameshwar Pratap, Ishan Sohony, Raghav Kulkarni
Efficient Compression Technique for Sparse Sets. PAKDD (3) (2018)
Sourav Chakraborty, Rameshwar Pratap, Sasanka Roy, Shubhangi Saraf
Helly-Type Theorems in Property Testing. Int. J. Comput. Geom. Appl. 28 (4) (2018)
Rameshwar Pratap, Sandeep Sen
Faster Coreset Construction for Projective Clustering via Low-Rank Approximation. IWOCA (2018)
Ishan Sohony, Rameshwar Pratap, Ullas Nambiar
Ensemble learning for credit card fraud detection. COMAD/CODS (2018)
Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Tarun Dutt
A Faster Sampling Algorithm for Spherical $k$-means. ACML (2018)
Rameshwar Pratap, Ishan Sohony, Raghav Kulkarni
Efficient Compression Technique for Sparse Sets. CoRR (2017)
Debajyoti Bera, Rameshwar Pratap
Frequent-Itemset Mining using Locality-Sensitive Hashing. CoRR (2016)
Raghav Kulkarni, Rameshwar Pratap
Similarity preserving compressions of high dimensional sparse data. CoRR (2016)
Debajyoti Bera, Rameshwar Pratap
Frequent-Itemset Mining Using Locality-Sensitive Hashing. COCOON (2016)
Sourav Chakraborty, Akshay Kamath, Rameshwar Pratap
Testing whether the uniform distribution is a stationary distribution. Inf. Process. Lett. 116 (7) (2016)
Rameshwar Pratap, Sandeep Sen
Faster coreset construction for subspace and projective clustering. CoRR (2016)
Sourav Chakraborty, Rameshwar Pratap, Sasanka Roy, Shubhangi Saraf
Helly-Type Theorems in Property Testing. LATIN (2014)
Sourav Chakraborty, Rameshwar Pratap, Sasanka Roy, Shubhangi Saraf
Helly-Type Theorems in Property Testing. CoRR (2013)
Sourav Chakraborty, Akshay Kamath, Rameshwar Pratap
Testing Uniformity of Stationary Distribution CoRR (2013)
Sourav Chakraborty, Akshay Kamath, Rameshwar Pratap
Testing uniformity of stationary distribution. CTW (2013)
Samir Datta, Rameshwar Pratap
Computing Bits of Algebraic Numbers. TAMC (2012)
Samir Datta, Rameshwar Pratap
Computing Bits of Algebraic Numbers CoRR (2011)