Chiranjib Bhattacharyya

137 papers A* 35A 17B 5C 4Misc 3Journal 49Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	CheXwhatsApp: A Dataset for Exploring Challenges in the Diagnosis of Chest X-rays through Mobile Devices. CVPR Mariamma Antony, Rajiv Porana, Sahil M. Lathiya, Siva Teja Kakileti, Chiranjib Bhattacharyya
2025	J	`jnl`	DO-EM: Density Operator Expectation Maximization. CoRR Adit Vishnu, Abhay Shastry, Dhruva Kashyap, Chiranjib Bhattacharyya
2025	A*	`conf`	LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions. ICLR Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham, David P. Woodruff
2025	J	`jnl`	ModHiFi: Identifying High Fidelity predictive components for Model Modification. CoRR Dhruva Kashyap, Chaitanya Murti, Pranav K. Nayak, Tanay Narshana, Chiranjib Bhattacharyya
2025	J	`jnl`	On Optimal Steering to Achieve Exact Fairness. CoRR Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah
2025	J	`jnl`	When Routers, Switches and Interconnects Compute: A processing-in-interconnect Paradigm for Scalable Neuromorphic AI. CoRR Madhuvanthi Srivatsav R, Chiranjib Bhattacharyya, Shantanu Chakrabartty, Chetan Singh Thakur
2024	A*	`conf`	DisCEdit: Model Editing by Identifying Discriminative Components. NeurIPS Chaitanya Murti, Chiranjib Bhattacharyya
2024	A	`conf`	LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields. AISTATS Chaitanya Murti, Dhruva Kashyap, Chiranjib Bhattacharyya
2024	J	`jnl`	LevAttention: Time, Space, and Streaming Efficient Algorithm for Heavy Attentions. CoRR Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham, David P. Woodruff
2024	A*	`conf`	Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms. NeurIPS Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Alexandru Gheorghiu
2024	J	`jnl`	Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms. CoRR Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Alexandru Gheorghiu
2024	A*	`conf`	Random Separating Hyperplane Theorem and Learning Polytopes. ICALP Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
2023	A*	`conf`	DFPC: Data flow driven pruning of coupled channels without data. ICLR Tanay Narshana, Chaitanya Murti, Chiranjib Bhattacharyya
2023	A*	`conf`	Deep Recurrent Optimal Stopping. NeurIPS Niranjan Damera Venkata, Chiranjib Bhattacharyya
2023	J	`jnl`	Random Separating Hyperplane Theorem and Learning Polytopes. CoRR Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
2023	A*	`conf`	TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning. ICLR Chaitanya Murti, Tanay Narshana, Chiranjib Bhattacharyya
2022	A	`conf`	Analysis of Knowledge Transfer in Kernel Regime. CIKM Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
2022	J	`jnl`	BNSynth: Bounded Boolean Functional Synthesis. CoRR Ravi Raja, Stanly Samuel, Chiranjib Bhattacharyya, Deepak D'Souza, Aditya Kanade
2022	A*	`conf`	How many Clusters? - An algorithmic answer. SODA Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
2022	J	`jnl`	Reliable quantum kernel classification using fewer circuit evaluations. CoRR Abhay Shastry, Abhijith Jayakumar, Apoorva D. Patel, Chiranjib Bhattacharyya
2022	A*	`conf`	When to Intervene: Learning Optimal Intervention Policies for Critical Events. NeurIPS Niranjan Damera Venkata, Chiranjib Bhattacharyya
2021	A*	`conf`	Can Non-Humanoid Social Robots Reduce Workload of Special Educators : An Online and In-Premises Field Study. ICRA Nabanita Paul, Siddharth Ramesh, Chiranjib Bhattacharyya, Jayashree Ramesh, Priya Vijayan
2021	J	`jnl`	DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder. CoRR Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, Vinay Viswanathan
2021	A*	`conf`	Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder. AAAI Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, Vinay Vishwanath
2021	A*	`conf`	Finding k in Latent k- polytope. ICML Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
2021	A*	`conf`	Learning a Latent Simplex in Input Sparsity Time. ICLR Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David P. Woodruff, Samson Zhou
2021	J	`jnl`	Learning a Latent Simplex in Input-Sparsity Time. CoRR Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David P. Woodruff, Samson Zhou
2021	J	`jnl`	Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model. J. Chem. Inf. Model. Abhishek Aggarwal, Vinayak Vinayak, Saientan Bag, Chiranjib Bhattacharyya, Umesh V. Waghmare, Prabal K. Maiti
2021	C	`conf`	Rawlsian Fair Adaptation of Deep Learning Classifiers. AIES Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya
2021	J	`jnl`	Rawlsian Fair Adaptation of Deep Learning Classifiers. CoRR Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya
2020	J	`jnl`	Algorithms for finding k in k-means. CoRR Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
2020	A*	`conf`	Finding a latent SODA Chiranjib Bhattacharyya, Ravindran Kannan
2020	A*	`conf`	Learning With Subquadratic Regularization : A Primal-Dual Approach. IJCAI Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya
2020	A*	`conf`	Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures. ICML Chiranjib Bhattacharyya, Ravindran Kannan
2020	J	`jnl`	On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. CoRR Arman Rahbar, Ashkan Panahi, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
2019	A	`conf`	Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits. UAI Aadirupa Saha, Shreyas Sheshadri, Chiranjib Bhattacharyya
2019	J	`jnl`	Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing. CoRR Chiranjib Bhattacharyya, Ravindran Kannan
2019	A*	`conf`	How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? AAAI Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya
2019	—	`conf`	Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. ACL (1) Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar
2019	—	`conf`	Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices. PRICAI (2) Prafull Prakash, Chaitanya Murti, J. Saketha Nath, Chiranjib Bhattacharyya
2019	Misc	`conf`	Regulating Drones in Restricted Spaces. HotMobile Abhishek Vijeev, Vinod Ganapathy, Chiranjib Bhattacharyya
2019	—	`conf`	Word2Sense: Sparse Interpretable Word Embeddings. ACL (1) Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya
2018	A	`conf`	Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach. AISTATS Achintya Kundu, Francis R. Bach, Chiranjib Bhattacharyya
2018	J	`jnl`	Graph Convolutional Networks based Word Embeddings. CoRR Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar
2018	J	`jnl`	How Many Pairwise Preferences Do We Need to Rank A Graph Consistently? CoRR Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya
2018	A*	`conf`	RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. EMNLP Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
2018	J	`jnl`	RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. CoRR Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
2018	A*	`conf`	Using Inherent Structures to design Lean 2-layer RBMs. ICML Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya
2018	J	`jnl`	Using Inherent Structures to design Lean 2-layer RBMs. CoRR Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya
2018	—	`conf`	Weight-Agnostic Hierarchical Stick-Breaking Process. ICBK Mrinal Kanti Das, Chiranjib Bhattacharyya
2017	J	`jnl`	Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization. IEEE Trans. Pattern Anal. Mach. Intell. Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya
2017	A*	`conf`	Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. ICML Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya
2017	J	`jnl`	Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia. ACM Trans. Asian Low Resour. Lang. Inf. Process. Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade
2017	A	`conf`	Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L AISTATS Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya
2017	A	`conf`	SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process. CIKM Lucky Dhakad, Mrinal Kanti Das, Chiranjib Bhattacharyya, Samik Datta, Mihir Kale, Vivek Mehta
2017	J	`jnl`	Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies. Mach. Learn. Lavanya Sita Tekumalla, Vaibhav Rajan, Chiranjib Bhattacharyya
2016	A	`conf`	Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading. SDM Lavanya Sita Tekumalla, Chiranjib Bhattacharyya
2016	J	`jnl`	HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials. Bioinform. Sumanta Mukherjee, Chiranjib Bhattacharyya, Nagasuma Chandra
2016	A*	`conf`	Non-negative Matrix Factorization under Heavy Noise. ICML Chiranjib Bhattacharyya, Navin Goyal, Ravindran Kannan, Jagdeep Pani
2015	A	`conf`	Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles. RecSys Trapit Bansal, Mrinal Kanti Das, Chiranjib Bhattacharyya
2015	A*	`conf`	EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection. IJCAI Adway Mitra, Chiranjib Bhattacharyya, Soma Biswas
2015	A	`conf`	Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson. SDM Lavanya Sita Tekumalla, Chiranjib Bhattacharyya
2015	A*	`conf`	Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models. ICML Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
2015	A*	`conf`	Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence. AAAI Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
2015	—	`conf`	Spectral Norm Regularization of Orthonormal Representations for Graph Transduction. NIPS Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis R. Bach
2015	A	`conf`	Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos. SDM Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya
2015	—	`conf`	Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages. CICLing (1) Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade
2015	—	`conf`	Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization. NIPS Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
2014	—	`conf`	A provable SVD-based algorithm for learning topics in dominant admixture corpus. NIPS Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan
2014	J	`jnl`	A provable SVD-based algorithm for learning topics in dominant admixture corpus. CoRR Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan
2014	J	`jnl`	Controlled Sparsity Kernel Learning. CoRR Dinesh Govindaraj, Raman Sankaran, Sreedal Menon, Chiranjib Bhattacharyya
2014	A*	`conf`	Global graph kernels using geometric embeddings. ICML Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, Chiranjib Bhattacharyya
2014	A	`conf`	Going beyond Corr-LDA for detecting specific comments on news & blogs. WSDM Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
2014	—	`conf`	Learning on graphs using Orthonormal Representation is Statistically Consistent. NIPS Rakesh Shivanna, Chiranjib Bhattacharyya
2014	J	`jnl`	Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson. CoRR Lavanya Sita Tekumalla, Chiranjib Bhattacharyya
2014	J	`jnl`	Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos. CoRR Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya
2013	—	`conf`	Elastic Resources Framework in IaaS, Preserving Performance SLAs. IEEE CLOUD Mohit Dhingra, J. Lakshmi, S. K. Nandy, Chiranjib Bhattacharyya, Kanchi Gopinath
2013	B	`conf`	Lovasz ϑ, SVMs and applications. ITW Vinay Jethava, Jacob Sznajdman, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
2013	J	`jnl`	Lovász ϑ function, SVMs and finding dense subgraphs. J. Mach. Learn. Res. Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
2013	—	`conf`	Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically. ICML (2) Mrinal Kanti Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, Kanchi Gopinath
2012	—	`conf`	"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs". NIPS Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
2012	A	`conf`	Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora. ECIR Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, Shirish K. Shevade
2012	B	`conf`	Covariance profiles: A signature representation for object sets. ICPR Anoop Kolar Anoop, Adway Mitra, Ujwal D. Bonde, Chiranjib Bhattacharyya, K. R. Ramakrishnan
2012	J	`jnl`	Dynamic Multi-Relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media CoRR Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya
2012	A*	`conf`	Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media. ICDM Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya
2012	J	`jnl`	Efficient methods for robust classification under uncertainty in kernel matrices. J. Mach. Learn. Res. Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, Arkadi Nemirovski
2012	Misc	`conf`	Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking. ICASSP Adway Mitra, Anoop Kolar Rajagopal, Ujwal D. Bonde, Chiranjib Bhattacharyya, K. R. Ramakrishnan
2012	—	`conf`	LoadIQ: Learning to Identify Workload Phases from a Live Storage Trace. HotStorage Pankaj Pipada, Achintya Kundu, Kanchi Gopinath, Chiranjib Bhattacharyya, Sai Susarla, P. C. Nagesh
2012	C	`conf`	TCP: Thread Contention Predictor for Parallel Programs. PDP Aparna Mandke Dani, Bharadwaj Amrutur, Y. N. Srikant, Chiranjib Bhattacharyya
2011	J	`jnl`	Chance constrained uncertain classification via robust optimization. Math. Program. Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, J. Saketha Nath
2011	A*	`conf`	Diversity in ranking via resistive graph centers. KDD Avinava Dubey, Soumen Chakrabarti, Chiranjib Bhattacharyya
2011	A	`conf`	Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments. SDM Himabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, Srujana Merugu
2011	A*	`conf`	Learning Dirichlet Processes from Partially Observed Groups. ICDM Avinava Dubey, Indrajit Bhattacharya, Mrinal Kanti Das, Tanveer A. Faruquie, Chiranjib Bhattacharyya
2011	J	`jnl`	NETGEM: Network Embedded Temporal GEnerative Model for gene expression data. BMC Bioinform. Vinay Jethava, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Goutham N. Vemuri
2011	—	`conf`	ReadAlong: reading articles and comments together. WWW (Companion Volume) Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib Bhattacharyya
2011	A*	`conf`	Scalable multi-dimensional user intent identification using tree structured distributions. SIGIR Vinay Jethava, Liliana Calderón-Benavides, Ricardo Baeza-Yates, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
2011	A	`conf`	Supervised matching of comments with news article segments. CIKM Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib Bhattacharyya
2011	J	`jnl`	Variable Sparsity Kernel Learning. J. Mach. Learn. Res. Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya, Jagarlapudi Saketha Nath, Raman Sankaran
2010	—	`conf`	Discovering Business Process Model from Unstructured Activity Logs. IEEE SCC Rahul Kumar, Chiranjib Bhattacharyya, Virendra Varshneya
2010	A	`conf`	Discovery of Application Workloads from Network File Traces. FAST Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, Kanchi Gopinath, Thirumale Niranjan, Sai Susarla
2010	—	`conf`	Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions. NIPS Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya, Aharon Ben-Tal
2010	—	`conf`	Free form face recognition using kernel sparse representation. ICVGIP Anoop Kolar Rajagopal, R. S. Narasimhan, K. R. Ramakrishnan, Chiranjib Bhattacharyya
2010	A*	`conf`	Robust Formulations for Handling Uncertainty in Kernel Matrices. ICML Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Aharon Ben-Tal
2010	—	`conf`	Video coding mode decision as a classification problem. Visual Information Processing and Communication Rashad Maqbool Jillani, Urvang Joshi, Chiranjib Bhattacharyya, Hari Kalva, R. K. Ramakrishnan
2009	J	`jnl`	A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data. Algorithms Mol. Biol. Sahely Bhadra, Chiranjib Bhattacharyya, Nagasuma R. Chandra, I. Saira Mian
2009	A*	`conf`	Conditional Models for Non-smooth Ranking Loss Functions. ICDM Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, Soumen Chakrabarti
2009	C	`conf`	Discovering Rules from Disk Events for Predicting Hard Drive Failures. ICMLA Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale Niranjan, Sai Susarla
2009	B	`conf`	Interval Data Classification under Partial Information: A Chance-Constraint Approach. PAKDD Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Chiranjib Bhattacharyya
2009	—	`conf`	On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation. NIPS Jagarlapudi Saketha Nath, G. Dinesh, Raman Sankaran, Chiranjib Bhattacharyya, Aharon Ben-Tal, K. R. Ramakrishnan
2009	J	`jnl`	RAPID: Resource of Asian Primary Immunodeficiency Diseases. Nucleic Acids Res. 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
2009	J	`jnl`	Randomized Algorithms for Large scale SVMs CoRR Vinay Jethava, Krishnan Suresh, Chiranjib Bhattacharyya, Ramesh Hariharan
2008	J	`jnl`	A large margin approach for writer independent online handwriting classification. Pattern Recognit. Lett. Karthik Kumara, Rahul Agrawal, Chiranjib Bhattacharyya
2008	—	`ch.`	Clustering Based on Genetic Algorithms. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases M. Narasimha Murty, Rashmin Babaria, Chiranjib Bhattacharyya
2007	J	`jnl`	Comparison of protein structures by growing neighborhood alignments. BMC Bioinform. Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra
2007	A*	`conf`	Focused crawling with scalable ordinal regression solvers. ICML Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty
2007	A	`conf`	Fréchet Distance Based Approach for Searching Online Handwritten Documents. ICDAR E. Sriraghavendra, K. Karthik, Chiranjib Bhattacharyya
2007	B	`conf`	Kernels for Large Margin Time-Series Classification. IJCNN K. R. Sivaramakrishnan, K. Karthik, Chiranjib Bhattacharyya
2007	A	`conf`	Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates. SDM J. Saketha Nath, Chiranjib Bhattacharyya
2007	A*	`conf`	Structural alignment based kernels for protein structure classification. ICML Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra
2006	A*	`conf`	Clustering based large margin classification: a scalable approach using SOCP formulation. KDD J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty
2006	J	`jnl`	Projections for fast protein structure retrieval. BMC Bioinform. Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Nagasuma R. Chandra
2006	J	`jnl`	Second Order Cone Programming Approaches for Handling Missing and Uncertain Data. J. Mach. Learn. Res. Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, Alexander J. Smola
2005	—	`conf`	Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming. ICCSA (4) H. M. Prasanna, Debasish Ghose, M. Seetharama Bhat, Chiranjib Bhattacharyya, J. Umakant
2004	—	`conf`	A Second Order Cone programming Formulation for Classifying Missing Data. NIPS Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alexander J. Smola
2004	Misc	`conf`	Efficient Algorithms for Intrusion Detection. ICDCIT Niranjan K. Boora, Chiranjib Bhattacharyya, Kanchi Gopinath
2004	J	`jnl`	Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data. J. Comput. Biol. Chiranjib Bhattacharyya, L. R. Grate, Michael I. Jordan, Laurent El Ghaoui, I. Saira Mian
2004	J	`jnl`	Second Order Cone Programming Formulations for Feature Selection. J. Mach. Learn. Res. Chiranjib Bhattacharyya
2004	B	`conf`	Time Series Classification for Online Tamil Handwritten Character Recognition - A Kernel Based Approach. ICONIP K. R. Sivaramakrishnan, Chiranjib Bhattacharyya
2003	J	`jnl`	Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data. Signal Process. Chiranjib Bhattacharyya, L. R. Grate, Aylin Rizki, D. Radisky, F. J. Molina, Michael I. Jordan, Mina J. Bissell, I. Saira Mian
2002	J	`jnl`	A Robust Minimax Approach to Classification. J. Mach. Learn. Res. Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan
2002	C	`conf`	Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces. WABI L. R. Grate, Chiranjib Bhattacharyya, Michael I. Jordan, I. Saira Mian
2001	J	`jnl`	Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Comput. S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy
2001	J	`jnl`	Mean Field Methods for a Special Class of Belief Networks. J. Artif. Intell. Res. Chiranjib Bhattacharyya, S. Sathiya Keerthi
2001	—	`conf`	Minimax Probability Machine. NIPS Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan
2000	—	`conf`	A Variational Mean-Field Theory for Sigmoidal Belief Networks. NIPS Chiranjib Bhattacharyya, S. Sathiya Keerthi
2000	J	`jnl`	A fast iterative nearest point algorithm for support vector machine classifier design. IEEE Trans. Neural Networks Learn. Syst. S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy
2000	J	`jnl`	Improvements to the SMO algorithm for SVM regression. IEEE Trans. Neural Networks Learn. Syst. Shirish K. Shevade, S. Sathiya Keerthi, Chiranjib Bhattacharyya, K. R. K. Murthy