Publications

For a full list go to Google Scholar

Challenges of AI driven diagnosis of chest X-rays transmitted through smart phones: a case study in COVID-19
Mariamma Antony (IISc), Siva Teja Kakileti (Niramai Health Analytix), Rachit Shah (IISc), Sabyasachi Sahoo (IISc), Chiranjib Bhattacharyya (IISc), and Geetha Manjunath (Niramai Health Analytix)
Nature Scientific Reports ( 2023 ) , Data

TVSPrune - Pruning Nondiscriminative Filters via Total Variation Separability of Intermediate Filters without Fine Tuning
Chaitanya Murti (IISc), Tanay Narshana (observe.ai), and Chiranjib Bhattacharyya (IISc)
ICLR ( 2023 )

DFPC - Data Flow Driven Pruning of Coupled Channels without Data
Tanay Narshana (observe.ai), Chaitanya Murti (IISc), and Chiranjib Bhattacharyya (IISc)
ICLR ( 2023 )

When to Intervene: Learning Optimal Intervention Policies for Critical Events
Niranjan Damera Venkata(HP) and Chiranjib Bhattacharyya(IISc)
NeurIPS ( 2022 ), Supp

Finding k in Latent k-Polytope
Chiranjib Bhattacharyya(IISc), Ravindran Kannan(MSR) and Amit Kumar(IIT Delhi)
ICML ( 2021 ), Supp

Can Non-Humanoid Social Robots Reduce Workload of Special Educators : An Online and In-Premises Field Study
Nabanita Paul(IISc), Siddharth Ramesh(IISc), Chiranjib Bhattacharyya(IISc), Jayashree Ramesh(ASHA) and Priya Vijayan(ASHA)
ICRA ( 2021 )

Rawlsian Fair Adaptation of Deep Learning Classifiers
Pooja Gupta(IISc), Chiranjib Bhattacharyya(IISc), Kulin Shah(MSR India) and Amit Deshpande(MSR India)
AIES ( 2021 )

DSLR : Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder
P. Kumar(IISc), S. Sahoo(IISc), V. Shah(IISc), V. Kondameedi(IISc), A. Jain(IISc), A. Verma(IISc), C. Bhattacharyya(IISc), and V. Vinay(AMIDC, CMI)
AAAI ( 2021 )

Learning With Subquadratic Regularization : A Primal-Dual Approach
Raman Sankaran, Francis Bach, Chiranjib Bhattacharyya
IJCAI ( 2020 )

Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures
Chiranjib Bhattacharyya, Ravindran Kannan
Paper - ICML ( 2020 ), Supp

Finding a latent k-simplex in O* (k nnz(data)) time via Subset Smoothing.
Chiranjib Bhattacharyya, Ravindran Kannan
Paper - SODA , 122-140 ( 2020 )

How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya
AAAI , 4830-4837 ( 2019 )

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks.
Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar
ACL (1) , 3308-3318 ( 2019 )

Word2Sense: Sparse Interpretable Word Embeddings.
Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya
ACL (1) , 5692-5705 ( 2019 )

Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices.
Prafull Prakash, Chaitanya Murti, J. Saketha Nath, Chiranjib Bhattacharyya
PRICAI (2) , 468-481 ( 2019 )

Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits.
Aadirupa Saha, Shreyas Sheshadri, Chiranjib Bhattacharyya
UAI , 206 ( 2019 )

Regulating Drones in Restricted Spaces.
Abhishek Vijeev, Vinod Ganapathy, Chiranjib Bhattacharyya
HotMobile , 27-32 ( 2019 )

Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing.
Chiranjib Bhattacharyya, Ravindran Kannan
HotMobile , 27-32 ( 2019 )

Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach.
Achintya Kundu, Francis Bach, Chiranjib Bhattacharyya
AISTATS , i ( 2018 )

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information.
Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
EMNLP , 1257-1266 ( 2018 )

Weight-Agnostic Hierarchical Stick-Breaking Process.
Mrinal Kanti Das, Chiranjib Bhattacharyya
ICBK , 342-349 ( 2018 )

Using Inherent Structures to design Lean 2-layer RBMs.
Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya
ICML , 452-460 ( 2018 )

Graph Convolutional Networks based Word Embeddings.
Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar
ICML , 452-460 ( 2018 )

How Many Pairwise Preferences Do We Need to Rank A Graph Consistently?
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya
ICML , 452-460 ( 2018 )

Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies.
Lavanya Sita Tekumalla, Vaibhav Rajan, Chiranjib Bhattacharyya
ICML , 1331-1357 ( 2017 )

Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization.
Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya
ICML , 430-443 ( 2017 )

Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia.
Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade
ICML , 20:1-20:25 ( 2017 )

Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L
Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya
AISTATS , 1123-1131 ( 2017 )

SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process.
Lucky Dhakad, Mrinal Kanti Das, Chiranjib Bhattacharyya, Samik Datta, Mihir Kale, Vivek Mehta
CIKM , 1609-1618 ( 2017 )

Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery.
Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya
ICML , 2769-2777 ( 2017 )

HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials.
Sumanta Mukherjee, Chiranjib Bhattacharyya, Nagasuma Chandra
ICML , 2297-2305 ( 2016 )

Non-negative Matrix Factorization under Heavy Noise.
Chiranjib Bhattacharyya, Navin Goyal, Ravindran Kannan, Jagdeep Pani
ICML , 1426-1434 ( 2016 )

Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading.
Lavanya Sita Tekumalla, Chiranjib Bhattacharyya
SDM , 774-782 ( 2016 )

Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence.
Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
AAAI , 311-317 ( 2015 )

Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages.
Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade
CICLing (1) , 505-519 ( 2015 )

Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models.
Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
ICML , 550-559 ( 2015 )

EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection.
Adway Mitra, Chiranjib Bhattacharyya, Soma Biswas
IJCAI , 3721-3727 ( 2015 )

Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization.
Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
NIPS , 1018-1026 ( 2015 )

Spectral Norm Regularization of Orthonormal Representations for Graph Transduction.
Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis R. Bach
NIPS , 2215-2223 ( 2015 )

Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles.
Trapit Bansal, Mrinal Kanti Das, Chiranjib Bhattacharyya
RecSys , 195-202 ( 2015 )

Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos.
Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya
SDM , 801-809 ( 2015 )

Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson.
Lavanya Sita Tekumalla, Chiranjib Bhattacharyya
SDM , 882-890 ( 2015 )

Global graph kernels using geometric embeddings.
Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, Chiranjib Bhattacharyya
ICML , 694-702 ( 2014 )

A provable SVD-based algorithm for learning topics in dominant admixture corpus.
Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan
NIPS , 1997-2005 ( 2014 )

Learning on graphs using Orthonormal Representation is Statistically Consistent.
Rakesh Shivanna, Chiranjib Bhattacharyya
NIPS , 3635-3643 ( 2014 )

Going beyond Corr-LDA for detecting specific comments on news and blogs.
Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
WSDM , 483-492 ( 2014 )

Controlled Sparsity Kernel Learning.
Dinesh Govindaraj, Raman Sankaran, Sreedal Menon, Chiranjib Bhattacharyya
WSDM , 483-492 ( 2014 )

Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos.
Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya
WSDM , 483-492 ( 2014 )

Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson.
Lavanya Sita Tekumalla, Chiranjib Bhattacharyya
WSDM , 483-492 ( 2014 )

A provable SVD-based algorithm for learning topics in dominant admixture corpus.
Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan
WSDM , 483-492 ( 2014 )

Lovász ϑ function, SVMs and finding dense subgraphs.
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
WSDM , 3495-3536 ( 2013 )

Elastic Resources Framework in IaaS, Preserving Performance SLAs.
Mohit Dhingra, J. Lakshmi, S. K. Nandy, Chiranjib Bhattacharyya, Kanchi Gopinath
IEEE CLOUD , 430-437 ( 2013 )

Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically.
Mrinal Kanti Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, Kanchi Gopinath
ICML (2) , 253-261 ( 2013 )

Lovasz ϑ, SVMs and applications.
Vinay Jethava, Jacob Sznajdman, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
ITW , 1-5 ( 2013 )

Efficient methods for robust classification under uncertainty in kernel matrices.
Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, Arkadi Nemirovski
ITW , 2923-2954 ( 2012 )

Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora.
Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, Shirish K. Shevade
ECIR , 388-400 ( 2012 )

LoadIQ: Learning to Identify Workload Phases from a Live Storage Trace.
Pankaj Pipada, Achintya Kundu, Kanchi Gopinath, Chiranjib Bhattacharyya, Sai Susarla, P. C. Nagesh
HotStorage , 388-400 ( 2012 )

Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking.
Adway Mitra, Anoop Kolar Rajagopal, Ujwal D. Bonde, Chiranjib Bhattacharyya, K. R. Ramakrishnan
ICASSP , 1497-1500 ( 2012 )

Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media.
Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya
ICDM , 389-398 ( 2012 )

Covariance profiles: A signature representation for object sets.
Anoop Kolar Anoop, Adway Mitra, Ujwal D. Bonde, Chiranjib Bhattacharyya, K. R. Ramakrishnan
ICPR , 2541-2544 ( 2012 )

The Lovasz theta function, SVMs and finding large dense subgraphs.
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
NIPS , 1169-1177 ( 2012 )

TCP: Thread Contention Predictor for Parallel Programs.
Aparna Mandke Dani, Bharadwaj Amrutur, Y. N. Srikant, Chiranjib Bhattacharyya
PDP , 19-26 ( 2012 )

Dynamic Multi-Relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media
Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya
PDP , 19-26 ( 2012 )

NETGEM: Network Embedded Temporal GEnerative Model for gene expression data.
Vinay Jethava, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Goutham N. Vemuri
PDP , 327 ( 2011 )

Variable Sparsity Kernel Learning.
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya, Jagarlapudi Saketha Nath, Raman Sankaran
PDP , 565-592 ( 2011 )

Chance constrained uncertain classification via robust optimization.
Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, J. Saketha Nath
PDP , 145-173 ( 2011 )

Supervised matching of comments with news article segments.
Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib Bhattacharyya
CIKM , 2125-2128 ( 2011 )

Learning Dirichlet Processes from Partially Observed Groups.
Avinava Dubey, Indrajit Bhattacharya, Mrinal Kanti Das, Tanveer A. Faruquie, Chiranjib Bhattacharyya
ICDM , 141-150 ( 2011 )

Diversity in ranking via resistive graph centers.
Avinava Dubey, Soumen Chakrabarti, Chiranjib Bhattacharyya
KDD , 78-86 ( 2011 )

Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments.
Himabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, Srujana Merugu
SDM , 498-509 ( 2011 )

Scalable multi-dimensional user intent identification using tree structured distributions.
Vinay Jethava, Liliana Calderón-Benavides, Ricardo Baeza-Yates, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
SIGIR , 395-404 ( 2011 )

ReadAlong: reading articles and comments together.
Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib Bhattacharyya
WWW (Companion Volume) , 125-126 ( 2011 )

Mean Field Methods for a Special Class of Belief Networks
Chiru Bhattacharyya, S. Sathiya Keerthi
WWW (Companion Volume) , 125-126 ( 2011 )

Discovering Business Process Model from Unstructured Activity Logs.
Rahul Kumar, Chiranjib Bhattacharyya, Virendra Varshneya
IEEE SCC , 250-257 ( 2010 )

Discovery of Application Workloads from Network File Traces.
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, Kanchi Gopinath, Thirumale Niranjan, Sai Susarla
FAST , 183-196 ( 2010 )

Robust Formulations for Handling Uncertainty in Kernel Matrices.
Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Aharon Ben-Tal
ICML , 71-78 ( 2010 )

Free form face recognition using kernel sparse representation.
Anoop Kolar Rajagopal, R. S. Narasimhan, K. R. Ramakrishnan, Chiranjib Bhattacharyya
ICVGIP , 109-116 ( 2010 )

Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions.
Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya, Aharon Ben-Tal
NIPS , 1198-1206 ( 2010 )

Video coding mode decision as a classification problem.
Rashad M. Jillani, Urvang Joshi, Chiranjib Bhattacharyya, Hari Kalva, R. K. Ramakrishnan
Visual Information Processing and Communication , 75430X ( 2010 )

A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data.
Sahely Bhadra, Chiranjib Bhattacharyya, Nagasuma R. Chandra, I. Saira Mian
Visual Information Processing and Communication , 75430X ( 2009 )

RAPID: Resource of Asian Primary Immunodeficiency Diseases.
Shivakumar Keerthikumar, Rajesh Raju, Kumaran Kandasamy, Atsushi Hijikata, Subhashri Ramabadran, Lavanya Balakrishnan, Mukhtar Ahmed, Sandhya Rani, Lakshmi Dhevi N. Selvan, Devi S. Somanathan, Somak Ray, Mitali Bhattacharjee, Sashikanth Gollapudi, Y. L. Ramachandra, Sahely Bhadra, Chiranjib Bhattacharyya, Kohsuke Imai, Shigeaki Nonoyama, Hirokazu Kanegane, Toshio Miyawaki, Akhilesh Pandey, Osamu Ohara, S. Sujatha Mohan
Visual Information Processing and Communication , 863-867 ( 2009 )

Conditional Models for Non-smooth Ranking Loss Functions.
Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, Soumen Chakrabarti
ICDM , 129-138 ( 2009 )

Discovering Rules from Disk Events for Predicting Hard Drive Failures.
Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale Niranjan, Sai Susarla
ICMLA , 782-786 ( 2009 )

On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation.
Jagarlapudi Saketha Nath, G. Dinesh, Raman Sankaran, Chiranjib Bhattacharyya, Aharon Ben-Tal, K. R. Ramakrishnan
NIPS , 844-852 ( 2009 )

Interval Data Classification under Partial Information: A Chance-Constraint Approach.
Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Chiranjib Bhattacharyya
PAKDD , 208-219 ( 2009 )

Randomized Algorithms for Large scale SVMs
Vinay Jethava, Krishnan Suresh, Chiranjib Bhattacharyya, Ramesh Hariharan
PAKDD , 208-219 ( 2009 )

A large margin approach for writer independent online handwriting classification.
Karthik Kumara, Rahul Agrawal, Chiranjib Bhattacharyya
PAKDD , 933-937 ( 2008 )

Structured learning for non-smooth ranking losses.
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chiru Bhattacharyya
KDD , 88-96 ( 2008 )

Clustering Based on Genetic Algorithms.
M. Narasimha Murty, Rashmin Babaria, Chiranjib Bhattacharyya
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases , 137-159 ( 2008 )

Comparison of protein structures by growing neighborhood alignments.
Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases , 137-159 ( 2007 )

Fréchet Distance Based Approach for Searching Online Handwritten Documents.
E. Sriraghavendra, K. Karthik, Chiranjib Bhattacharyya
ICDAR , 461-465 ( 2007 )

Focused crawling with scalable ordinal regression solvers.
Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty
ICML , 57-64 ( 2007 )

Structural alignment based kernels for protein structure classification.
Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra
ICML , 73-80 ( 2007 )

Kernels for Large Margin Time-Series Classification.
K. R. Sivaramakrishnan, K. Karthik, Chiranjib Bhattacharyya
IJCNN , 2746-2751 ( 2007 )

A Randomized Algorithm for Large Scale Support Vector Learning.
Krishnan Kumar, Chiru Bhattacharyya, Ramesh Hariharan
NIPS , 793-800 ( 2007 )

Kernels on Attributed Pointsets with Applications.
Mehul Parsana, Sourangshu Bhattacharya, Chiru Bhattacharyya, K. R. Ramakrishnan
NIPS , 1129-1136 ( 2007 )

Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates.
J. Saketha Nath, Chiranjib Bhattacharyya
SDM , 35-46 ( 2007 )

Projections for fast protein structure retrieval.
Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra
SDM , 35-46 ( 2006 )

Second Order Cone Programming Approaches for Handling Missing and Uncertain Data.
Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, Alexander J. Smola
SDM , 1283-1314 ( 2006 )

Clustering based large margin classification: a scalable approach using SOCP formulation.
J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty
KDD , 674-679 ( 2006 )

Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming.
H. M. Prasanna, Debasish Ghose, M. Seetharama Bhat, Chiranjib Bhattacharyya, J. Umakant
ICCSA (4) , 548-557 ( 2005 )

Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data.
Chiranjib Bhattacharyya, L. R. Grate, Michael I. Jordan, Laurent El Ghaoui, I. Saira Mian
ICCSA (4) , 1073-1089 ( 2004 )

Second Order Cone Programming Formulations for Feature Selection.
Chiranjib Bhattacharyya
ICCSA (4) , 1417-1433 ( 2004 )

Efficient Algorithms for Intrusion Detection.
Niranjan K. Boora, Chiranjib Bhattacharyya, Kanchi Gopinath
ICDCIT , 346-352 ( 2004 )

Time Series Classification for Online Tamil Handwritten Character Recognition - A Kernel Based Approach.
K. R. Sivaramakrishnan, Chiranjib Bhattacharyya
ICONIP , 800-805 ( 2004 )

A Second Order Cone programming Formulation for Classifying Missing Data.
Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alexander J. Smola
NIPS , 153-160 ( 2004 )

Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data.
Chiranjib Bhattacharyya, L. R. Grate, A. Rizki, D. Radisky, F. J. Molina, Michael I. Jordan, Mina J. Bissell, I. Saira Mian
NIPS , 729-743 ( 2003 )

A Robust Minimax Approach to Classification.
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan
NIPS , 555-582 ( 2002 )

Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces.
L. R. Grate, Chiranjib Bhattacharyya, Michael I. Jordan, I. Saira Mian
WABI , 1-9 ( 2002 )

Mean Field Methods for a Special Class of Belief Networks.
Chiranjib Bhattacharyya, S. Sathiya Keerthi
WABI , 91-114 ( 2001 )

Improvements to Platt’s SMO Algorithm for SVM Classifier Design.
S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy
WABI , 637-649 ( 2001 )

Minimax Probability Machine.
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan
NIPS , 801-807 ( 2001 )

A fast iterative nearest point algorithm for support vector machine classifier design.
S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy
NIPS , 124-136 ( 2000 )

Improvements to the SMO algorithm for SVM regression.
Shirish K. Shevade, S. Sathiya Keerthi, Chiranjib Bhattacharyya, K. R. K. Murthy
NIPS , 1188-1193 ( 2000 )

A Variational Mean-Field Theory for Sigmoidal Belief Networks.
Chiranjib Bhattacharyya, S. Sathiya Keerthi
NIPS , 374-380 ( 2000 )