Chiranjib Bhattacharyya

发表

Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media

Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya, 2012, 2012 IEEE 12th International Conference on Data Mining.

Word2Sense: Sparse Interpretable Word Embeddings

Chiranjib Bhattacharyya, Harsha Vardhan Simhadri, Abhishek Panigrahi, 2019, ACL.

Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming

Debasish Ghose, Chiranjib Bhattacharyya, M. Seetharama Bhat, 2005, ICCSA.

Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits

Chiranjib Bhattacharyya, Aadirupa Saha, Shreyas Sheshadri, 2019, UAI.

Covariance profiles: A signature representation for object sets

K. R. Ramakrishnan, Chiranjib Bhattacharyya, Adway Mitra, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

A fast iterative nearest point algorithm for support vector machine classifier design

S. Sathiya Keerthi, Chiranjib Bhattacharyya, Shirish K. Shevade, 2000, IEEE Trans. Neural Networks Learn. Syst..

A provable SVD-based algorithm for learning topics in dominant admixture corpus

Chiranjib Bhattacharyya, Ravi Kannan, Trapit Bansal, 2014, NIPS.

Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization

Devdatt P. Dubhashi, Chiranjib Bhattacharyya, Fredrik D. Johansson, 2015, NIPS.

Elastic Resources Framework in IaaS, Preserving Performance SLAs

S. K. Nandy, J. Lakshmi, Kanchi Gopinath, 2013, 2013 IEEE Sixth International Conference on Cloud Computing.

Clustering based large margin classification: a scalable approach using SOCP formulation

M. Narasimha Murty, Chiranjib Bhattacharyya, J. Saketha Nath, 2006, KDD '06.

Conditional Models for Non-smooth Ranking Loss Functions

Jinesh Machchhar, Chiranjib Bhattacharyya, Soumen Chakrabarti, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Going beyond Corr-LDA for detecting specific comments on news & blogs

Chiranjib Bhattacharyya, Trapit Bansal, Mrinal Kanti Das, 2014, WSDM.

How Many Pairwise Preferences Do We Need to Rank A Graph Consistently? pdf

Chiranjib Bhattacharyya, Aadirupa Saha, Rakesh Shivanna, 2018, AAAI.

Variable Sparsity Kernel Learning

Chiranjib Bhattacharyya, Aharon Ben-Tal, Jonathan Aflalo, 2011, J. Mach. Learn. Res..

Diversity in ranking via resistive graph centers

Chiranjib Bhattacharyya, Soumen Chakrabarti, Avinava Dubey, 2011, KDD.

HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials

Nagasuma R. Chandra, Chiranjib Bhattacharyya, Sumanta Mukherjee, 2016, Bioinform..

Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models

Chiranjib Bhattacharyya, Trapit Bansal, Mrinal Kanti Das, 2015, ICML.

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

Chiranjib Bhattacharyya, Partha Talukdar, Shikhar Vashishth, 2018, EMNLP.

RAPID: Resource of Asian Primary Immunodeficiency Diseases

Sandhya Rani, Chiranjib Bhattacharyya, Kumaran Kandasamy, 2008, Nucleic Acids Res..

Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence

Chiranjib Bhattacharyya, Trapit Bansal, Mrinal Kanti Das, 2015, AAAI.

Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos

Chiranjib Bhattacharyya, Adway Mitra, Soma Biswas, 2014, ArXiv.

"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs"

Devdatt P. Dubhashi, Chiranjib Bhattacharyya, Anders Martinsson, 2012, NIPS.

NETGEM: Network Embedded Temporal GEnerative Model for gene expression data

Devdatt P. Dubhashi, Chiranjib Bhattacharyya, Vinay Jethava, 2011, BMC Bioinformatics.

Free form face recognition using kernel sparse representation

K. R. Ramakrishnan, Chiranjib Bhattacharyya, Anoop Kolar Rajagopal, 2010, ICVGIP '10.

Discovering Business Process Model from Unstructured Activity Logs

Chiranjib Bhattacharyya, Rahul Kumar, Virendra Varshneya, 2010, 2010 IEEE International Conference on Services Computing.

Robust Formulations for Handling Uncertainty in Kernel Matrices

Chiranjib Bhattacharyya, Sahely Bhadra, Sourangshu Bhattacharya, 2010, ICML.

Improvements to Platt's SMO Algorithm for SVM Classifier Design

S. Sathiya Keerthi, Chiranjib Bhattacharyya, Shirish K. Shevade, 2001, Neural Computation.

A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data

Nagasuma R. Chandra, Chiranjib Bhattacharyya, Sahely Bhadra, 2009, Algorithms for Molecular Biology.

Randomized Algorithms for Large scale SVMs pdf

Ramesh Hariharan, Krishnan Suresh, Chiranjib Bhattacharyya, 2009, ArXiv.

Mean Field Methods for a Special Class of Belief Networks pdf

S. Sathiya Keerthi, Chiranjib Bhattacharyya, S. Keerthi, 2001, J. Artif. Intell. Res..

Focused crawling with scalable ordinal regression solvers

M. Narasimha Murty, Chiranjib Bhattacharyya, S. Krishnan, 2007, ICML '07.

Interval Data Classification under Partial Information: A Chance-Constraint Approach

Chiranjib Bhattacharyya, Sahely Bhadra, Aharon Ben-Tal, 2009, PAKDD.

Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos

Chiranjib Bhattacharyya, Adway Mitra, Soma Biswas, 2015, SDM.

Kernels for Large Margin Time-Series Classification

Chiranjib Bhattacharyya, K. Karthik, K. R. Sivaramakrishnan, 2007, 2007 International Joint Conference on Neural Networks.

Learning Dirichlet Processes from Partially Observed Groups

Tanveer A. Faruquie, Indrajit Bhattacharya, Chiranjib Bhattacharyya, 2011, 2011 IEEE 11th International Conference on Data Mining.

Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies

Chiranjib Bhattacharyya, Lavanya Sita Tekumalla, Vaibhav Rajan, 2017, Machine Learning.

Supervised matching of comments with news article segments

Chiranjib Bhattacharyya, Srinivasan H. Sengamedu, Dyut Kumar Sil, 2011, CIKM '11.

Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles

Chiranjib Bhattacharyya, Trapit Bansal, Mrinal Kanti Das, 2015, RecSys.

Fréchet Distance Based Approach for Searching Online Handwritten Documents

Chiranjib Bhattacharyya, K. Karthik, E. Sriraghavendra, 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking

K. R. Ramakrishnan, Chiranjib Bhattacharyya, Adway Mitra, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Computational Approaches for Reconstruction of Time-Varying Biological Networks from Omics Data

Devdatt P. Dubhashi, Chiranjib Bhattacharyya, Devdatt Dubhashi, 2013 .

ReadAlong: reading articles and comments together

Chiranjib Bhattacharyya, Srinivasan H. Sengamedu, Dyut Kumar Sil, 2011, WWW.

TCP: Thread Contention Predictor for Parallel Programs

Bharadwaj S. Amrutur, Chiranjib Bhattacharyya, Y. N. Srikant, 2012, 2012 20th Euromicro International Conference on Parallel, Distributed and Network-based Processing.

Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora

Chiranjib Bhattacharyya, Shirish K. Shevade, Mrinal Kanti Das, 2012, ECIR.

Simultaneous feature selection and classification for relevance feedback in image retrieval

Chiranjib Bhattacharyya, R. Prasanna, K. R. Ramakrishnan, 2003, TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region.

SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process

Chiranjib Bhattacharyya, Mihir Kale, Mrinal Kanti Das, 2017, CIKM.

Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach

Chiranjib Bhattacharyya, Francis Bach, Achintya Kundu, 2017, AISTATS.

On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation

K. R. Ramakrishnan, Chiranjib Bhattacharyya, Aharon Ben-Tal, 2009, NIPS.

Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson

Chiranjib Bhattacharyya, Lavanya Sita Tekumalla, C. Bhattacharyya, 2014, SDM.

Fréchet Distance Based Approach for Searching Online Handwritten Documents

Chiranjib Bhattacharyya, K. Karthik, R. Sriraghavendra, 2007 .

Kernels on Attributed Pointsets with Applications

K. R. Ramakrishnan, Chiranjib Bhattacharyya, Sourangshu Bhattacharya, 2007, NIPS.

Lovasz ϑ, SVMs and applications

Devdatt P. Dubhashi, Chiranjib Bhattacharyya, Vinay Jethava, 2013, 2013 IEEE Information Theory Workshop (ITW).

Spectral Norm Regularization of Orthonormal Representations for Graph Transduction

Francis R. Bach, Chiranjib Bhattacharyya, Raman Sankaran, 2015, NIPS.

Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia

Chiranjib Bhattacharyya, Shirish K. Shevade, Goutham Tholpadi, 2017, TALLIP.

Discovery of Application Workloads from Network File Traces

Kanchi Gopinath, Chiranjib Bhattacharyya, Thirumale Niranjan, 2010, FAST.

Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces

Michael I. Jordan, Chiranjib Bhattacharyya, I. Saira Mian, 2002, WABI.

Weight-Agnostic Hierarchical Stick-Breaking Process

Chiranjib Bhattacharyya, Mrinal Kanti Das, 2018, 2018 IEEE International Conference on Big Knowledge (ICBK).

A Variational Mean-Field Theory for Sigmoidal Belief Networks

S. Sathiya Keerthi, Chiranjib Bhattacharyya, S. Keerthi, 2000, NIPS.

Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions

Chiranjib Bhattacharyya, Aharon Ben-Tal, Achintya Kundu, 2010, NIPS.

Improvements to the SMO algorithm for SVM regression

S. Sathiya Keerthi, Chiranjib Bhattacharyya, Shirish K. Shevade, 2000, IEEE Trans. Neural Networks Learn. Syst..

Global graph kernels using geometric embeddings

Devdatt P. Dubhashi, Chiranjib Bhattacharyya, Fredrik D. Johansson, 2014, ICML.

Using Inherent Structures to design Lean 2-layer RBMs pdf

Chiranjib Bhattacharyya, Abhishek Bansal, Abhinav Anand, 2018, ICML.

Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization

Chiranjib Bhattacharyya, Adway Mitra, Soma Biswas, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Comparison of protein structures by growing neighborhood alignments

Nagasuma R. Chandra, Chiranjib Bhattacharyya, Sourangshu Bhattacharya, 2007, BMC Bioinformatics.

Clustering Based on Genetic Algorithms

M. Narasimha Murty, Chiranjib Bhattacharyya, Rashmin Babaria, 2008, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases.

2020 Algorithms for ﬁnding 𝑘 in 𝑘 − means pdf

Chiranjib Bhattacharyya, Amit Kumar, Ravindran Kannan, 2022 .

Graph Convolutional Networks based Word Embeddings pdf

Chiranjib Bhattacharyya, Prateek Yadav, Piyush Rai, 2018, ArXiv.

Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data

Michael I. Jordan, Laurent El Ghaoui, Chiranjib Bhattacharyya, 2004, J. Comput. Biol..

Non-negative Matrix Factorization under Heavy Noise

Chiranjib Bhattacharyya, Navin Goyal, Ravi Kannan, 2016, ICML.

Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading

Chiranjib Bhattacharyya, Lavanya Sita Tekumalla, C. Bhattacharyya, 2016, SDM.

Efficient methods for robust classification under uncertainty in kernel matrices

Chiranjib Bhattacharyya, Sahely Bhadra, Arkadi Nemirovski, 2012, J. Mach. Learn. Res..

EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection

Chiranjib Bhattacharyya, Adway Mitra, Soma Biswas, 2015, IJCAI.

Focussed Crawling with large scale Ordinal Regression Solvers

Chiranjib Bhattacharyya, M. N. Murty, J. Saketha Nath, 2007 .

Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments

Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya, 2011, SDM.

Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically

Suparna Bhattacharya, Kanchi Gopinath, Chiranjib Bhattacharyya, 2013, ICML.

Regulating Drones in Restricted Spaces

Vinod Ganapathy, Chiranjib Bhattacharyya, Abhishek Vijeev, 2019, HotMobile.

Video coding mode decision as a classification problem

Hari Kalva, Chiranjib Bhattacharyya, Rashad M. Jillani, 2010, Electronic Imaging.

Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data

Michael I. Jordan, Chiranjib Bhattacharyya, Mina J. Bissell, 2003, Signal Process..

A Second Order Cone programming Formulation for Classifying Missing Data

Alexander J. Smola, Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, 2004, NIPS.

Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates

Chiranjib Bhattacharyya, J. Saketha Nath, C. Bhattacharyya, 2007, SDM.

Projections for fast protein structure retrieval

Nagasuma R. Chandra, Chiranjib Bhattacharyya, Sourangshu Bhattacharya, 2006, BMC Bioinformatics.

Structured learning for non-smooth ranking losses

Chiranjib Bhattacharyya, Rajiv Khanna, Soumen Chakrabarti, 2008, KDD.

Chance constrained uncertain classification via robust optimization

Chiranjib Bhattacharyya, Sahely Bhadra, Aharon Ben-Tal, 2011, Math. Program..

Lovász ϑ function, SVMs and finding dense subgraphs

Devdatt P. Dubhashi, Chiranjib Bhattacharyya, Anders Martinsson, 2013, J. Mach. Learn. Res..

Controlled Sparsity Kernel Learning pdf

Chiranjib Bhattacharyya, Dinesh Govindaraj, Raman Sankaran, 2013, ArXiv.

Discovering Rules from Disk Events for Predicting Hard Drive Failures

Chiranjib Bhattacharyya, Vipul Agarwal, Thirumale Niranjan, 2009, 2009 International Conference on Machine Learning and Applications.

A Robust Minimax Approach to Classification

Michael I. Jordan, Laurent El Ghaoui, Gert R. G. Lanckriet, 2003, J. Mach. Learn. Res..

Second Order Cone Programming Formulations for Feature Selection

Chiranjib Bhattacharyya, C. Bhattacharyya, 2004, J. Mach. Learn. Res..

Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages

Chiranjib Bhattacharyya, Shirish K. Shevade, Goutham Tholpadi, 2015, CICLing.

Interpolation-Aware Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming

Debasish Ghose, Chiranjib Bhattacharyya, J. Umakant, 2005 .

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Chiranjib Bhattacharyya, Piyush Rai, Partha Talukdar, 2018, ACL.

Efficient Algorithms for Intrusion Detection

Kanchi Gopinath, Chiranjib Bhattacharyya, Niranjan K. Boora, 2004, ICDCIT.

A large margin approach for writer independent online handwriting classification

Chiranjib Bhattacharyya, Rahul Agrawal, Karthik Kumara, 2008, Pattern Recognit. Lett..

Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing

Chiranjib Bhattacharyya, Ravi Kannan, R. Kannan, 2019, SODA.

Structural alignment based kernels for protein structure classification

Nagasuma R. Chandra, Chiranjib Bhattacharyya, Sourangshu Bhattacharya, 2007, ICML '07.

Time Series Classification for Online Tamil Handwritten Character Recognition - A Kernel Based Approach

Chiranjib Bhattacharyya, K. R. Sivaramakrishnan, 2004, ICONIP.

Learning on graphs using Orthonormal Representation is Statistically Consistent

Chiranjib Bhattacharyya, Rakesh Shivanna, C. Bhattacharyya, 2014, NIPS.

Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery

Devdatt P. Dubhashi, Chiranjib Bhattacharyya, Ashkan Panahi, 2017, ICML.

LoadIQ: Learning to Identify Workload Phases from a Live Storage Trace

Kanchi Gopinath, Chiranjib Bhattacharyya, Achintya Kundu, 2012, HotStorage.

A Randomized Algorithm for Large Scale Support Vector Learning

Ramesh Hariharan, Chiranjib Bhattacharyya, Krishnan Kumar, 2007, NIPS.

Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L1-norms

Francis R. Bach, Chiranjib Bhattacharyya, Raman Sankaran, 2017, AISTATS.

7. Kernels on Protein Structures

Chiranjib Bhattacharyya, Sourangshu Bhattacharya, Nagasuma Chandra, 2010 .

Suppress, and Not Just Flatten: Strategies for Rapid Suppression of COVID19 Transmission in Small World Communities

Chiranjib Bhattacharyya, V. Vinay, 2020, Journal of the Indian Institute of Science.

Minimax Probability Machine

Michael I. Jordan, Laurent El Ghaoui, Gert R. G. Lanckriet, 2001, NIPS.

DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder

Chiranjib Bhattacharyya, Abhinav Jain, Sabyasachi Sahoo, 2021, AAAI Conference on Artificial Intelligence.

Learning a Latent Simplex in Input-Sparsity Time pdf

David P. Woodruff, Chiranjib Bhattacharyya, Ainesh Bakshi, 2021, ICLR.

Rawlsian Fair Adaptation of Deep Learning Classifiers

Chiranjib Bhattacharyya, Amit Deshpande, Kulin Shah, 2021, AIES.

Finding k in Latent k- polytope

Chiranjib Bhattacharyya, Ravi Kannan, Amit Kumar, 2021, ICML.

DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder pdf

Chiranjib Bhattacharyya, Abhinav Jain, Sabyasachi Sahoo, 2021, AAAI.

Robust formulations for clustering-based large-scale classification

Chiranjib Bhattacharyya, Aharon Ben-Tal, Saketha Nath Jagarlapudi, 2013 .

Prediction of Candidate Primary Immunodeficiency Disease Genes Using a Support Vector Machine Learning Approach

Chiranjib Bhattacharyya, Kumaran Kandasamy, Akhilesh Pandey, 2009, DNA research : an international journal for rapid publication of reports on genes and genomes.