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Chiranjib Bhattacharyya
Chiru Bhattacharyya
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- affiliation: ERNET, India
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2020 – today
- 2023
- [c83]Chaitanya Murti, Tanay Narshana, Chiranjib Bhattacharyya:
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning. ICLR 2023 - [c82]Tanay Narshana, Chaitanya Murti, Chiranjib Bhattacharyya:
DFPC: Data flow driven pruning of coupled channels without data. ICLR 2023 - [i20]Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar:
Random Separating Hyperplane Theorem and Learning Polytopes. CoRR abs/2307.11371 (2023) - 2022
- [c81]Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani:
Analysis of Knowledge Transfer in Kernel Regime. CIKM 2022: 1615-1624 - [c80]Niranjan Damera Venkata, Chiranjib Bhattacharyya:
When to Intervene: Learning Optimal Intervention Policies for Critical Events. NeurIPS 2022 - [c79]Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar:
How many Clusters? - An algorithmic answer. SODA 2022: 2607-2640 - [i19]Abhay Shastry, Abhijith J., Apoorva D. Patel, Chiranjib Bhattacharyya:
Reliable quantum kernel classification using fewer circuit evaluations. CoRR abs/2210.06971 (2022) - [i18]Ravi Raja, Stanly Samuel, Chiranjib Bhattacharyya, Deepak D'Souza, Aditya Kanade:
BNSynth: Bounded Boolean Functional Synthesis. CoRR abs/2212.08170 (2022) - 2021
- [j24]Abhishek Aggarwal
, Vinayak Vinayak, Saientan Bag, Chiranjib Bhattacharyya, Umesh V. Waghmare
, Prabal K. Maiti
:
Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model. J. Chem. Inf. Model. 61(1): 106-114 (2021) - [c78]Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, Vinay Vishwanath:
Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder. AAAI 2021: 1836-1844 - [c77]Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya:
Rawlsian Fair Adaptation of Deep Learning Classifiers. AIES 2021: 936-945 - [c76]Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David P. Woodruff, Samson Zhou:
Learning a Latent Simplex in Input Sparsity Time. ICLR 2021 - [c75]Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar:
Finding k in Latent k- polytope. ICML 2021: 894-903 - [c74]Nabanita Paul, Siddharth Ramesh, Chiranjib Bhattacharyya, Jayashree Ramesh, Priya Vijayan:
Can Non-Humanoid Social Robots Reduce Workload of Special Educators : An Online and In-Premises Field Study. ICRA 2021: 11386-11392 - [i17]Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David P. Woodruff, Samson Zhou:
Learning a Latent Simplex in Input-Sparsity Time. CoRR abs/2105.08005 (2021) - [i16]Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, Vinay Viswanathan:
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder. CoRR abs/2105.12774 (2021) - [i15]Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya:
Rawlsian Fair Adaptation of Deep Learning Classifiers. CoRR abs/2105.14890 (2021) - 2020
- [c73]Chiranjib Bhattacharyya, Ravindran Kannan:
Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures. ICML 2020: 854-863 - [c72]Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya:
Learning With Subquadratic Regularization : A Primal-Dual Approach. IJCAI 2020: 1963-1969 - [c71]Chiranjib Bhattacharyya, Ravindran Kannan:
Finding a latent k-simplex in O* (k · nnz(data)) time via Subset Smoothing. SODA 2020: 122-140 - [i14]Arman Rahbar, Ashkan Panahi, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani:
On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. CoRR abs/2003.13438 (2020) - [i13]Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar:
Algorithms for finding k in k-means. CoRR abs/2012.04388 (2020)
2010 – 2019
- 2019
- [c70]Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya:
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? AAAI 2019: 4830-4837 - [c69]Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar:
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. ACL (1) 2019: 3308-3318 - [c68]Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya:
Word2Sense: Sparse Interpretable Word Embeddings. ACL (1) 2019: 5692-5705 - [c67]Prafull Prakash, Chaitanya Murti, J. Saketha Nath, Chiranjib Bhattacharyya:
Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices. PRICAI (2) 2019: 468-481 - [c66]Aadirupa Saha, Shreyas Sheshadri, Chiranjib Bhattacharyya:
Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits. UAI 2019: 595-605 - [c65]Abhishek Vijeev, Vinod Ganapathy, Chiranjib Bhattacharyya:
Regulating Drones in Restricted Spaces. HotMobile 2019: 27-32 - [i12]Chiranjib Bhattacharyya, Ravindran Kannan:
Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing. CoRR abs/1904.06738 (2019) - 2018
- [c64]Achintya Kundu, Francis R. Bach, Chiranjib Bhattacharyya:
Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach. AISTATS 2018: i - [c63]Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar:
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. EMNLP 2018: 1257-1266 - [c62]Mrinal Kanti Das, Chiranjib Bhattacharyya:
Weight-Agnostic Hierarchical Stick-Breaking Process. ICBK 2018: 342-349 - [c61]Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya:
Using Inherent Structures to design Lean 2-layer RBMs. ICML 2018: 452-460 - [i11]Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya:
Using Inherent Structures to design Lean 2-layer RBMs. CoRR abs/1806.04577 (2018) - [i10]Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar:
Graph Convolutional Networks based Word Embeddings. CoRR abs/1809.04283 (2018) - [i9]Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya:
How Many Pairwise Preferences Do We Need to Rank A Graph Consistently? CoRR abs/1811.02161 (2018) - [i8]Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar:
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. CoRR abs/1812.04361 (2018) - 2017
- [j23]Lavanya Sita Tekumalla, Vaibhav Rajan
, Chiranjib Bhattacharyya:
Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies. Mach. Learn. 106(9-10): 1331-1357 (2017) - [j22]Adway Mitra
, Soma Biswas, Chiranjib Bhattacharyya:
Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 430-443 (2017) - [j21]Goutham Tholpadi
, Chiranjib Bhattacharyya, Shirish K. Shevade:
Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia. ACM Trans. Asian Low Resour. Lang. Inf. Process. 16(3): 20:1-20:25 (2017) - [c60]Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya:
Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L1-norms. AISTATS 2017: 1123-1131 - [c59]Lucky Dhakad, Mrinal Kanti Das, Chiranjib Bhattacharyya, Samik Datta, Mihir Kale, Vivek Mehta:
SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process. CIKM 2017: 1609-1618 - [c58]Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya:
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. ICML 2017: 2769-2777 - 2016
- [j20]Sumanta Mukherjee, Chiranjib Bhattacharyya, Nagasuma Chandra
:
HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials. Bioinform. 32(15): 2297-2305 (2016) - [c57]Chiranjib Bhattacharyya, Navin Goyal, Ravindran Kannan, Jagdeep Pani:
Non-negative Matrix Factorization under Heavy Noise. ICML 2016: 1426-1434 - [c56]Lavanya Sita Tekumalla, Chiranjib Bhattacharyya:
Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading. SDM 2016: 774-782 - 2015
- [c55]Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya:
Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence. AAAI 2015: 311-317 - [c54]Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade:
Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages. CICLing (1) 2015: 505-519 - [c53]Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya:
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models. ICML 2015: 550-559 - [c52]Adway Mitra, Chiranjib Bhattacharyya, Soma Biswas:
EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection. IJCAI 2015: 3721-3727 - [c51]Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya, Devdatt P. Dubhashi:
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization. NIPS 2015: 1018-1026 - [c50]Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis R. Bach:
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction. NIPS 2015: 2215-2223 - [c49]Trapit Bansal, Mrinal Kanti Das, Chiranjib Bhattacharyya:
Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles. RecSys 2015: 195-202 - [c48]Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya:
Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos. SDM 2015: 801-809 - [c47]Lavanya Sita Tekumalla, Chiranjib Bhattacharyya:
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson. SDM 2015: 882-890 - 2014
- [c46]Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, Chiranjib Bhattacharyya:
Global graph kernels using geometric embeddings. ICML 2014: 694-702 - [c45]Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan:
A provable SVD-based algorithm for learning topics in dominant admixture corpus. NIPS 2014: 1997-2005 - [c44]Rakesh Shivanna, Chiranjib Bhattacharyya:
Learning on graphs using Orthonormal Representation is Statistically Consistent. NIPS 2014: 3635-3643 - [c43]Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya:
Going beyond Corr-LDA for detecting specific comments on news & blogs. WSDM 2014: 483-492 - [i7]Dinesh Govindaraj, Raman Sankaran, Sreedal Menon, Chiranjib Bhattacharyya:
Controlled Sparsity Kernel Learning. CoRR abs/1401.0116 (2014) - [i6]Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya:
Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos. CoRR abs/1409.6080 (2014) - [i5]Lavanya Sita Tekumalla, Chiranjib Bhattacharyya:
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson. CoRR abs/1410.3463 (2014) - [i4]Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan:
A provable SVD-based algorithm for learning topics in dominant admixture corpus. CoRR abs/1410.6991 (2014) - 2013
- [j19]Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi:
Lovász ϑ function, SVMs and finding dense subgraphs. J. Mach. Learn. Res. 14(1): 3495-3536 (2013) - [c42]Mohit Dhingra, J. Lakshmi, S. K. Nandy, Chiranjib Bhattacharyya, Kanchi Gopinath:
Elastic Resources Framework in IaaS, Preserving Performance SLAs. IEEE CLOUD 2013: 430-437 - [c41]Mrinal Kanti Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, Kanchi Gopinath:
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically. ICML (2) 2013: 253-261 - [c40]Vinay Jethava
, Jacob Sznajdman, Chiranjib Bhattacharyya, Devdatt P. Dubhashi:
Lovasz ϑ, SVMs and applications. ITW 2013: 1-5 - 2012
- [j18]Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, Arkadi Nemirovski:
Efficient methods for robust classification under uncertainty in kernel matrices. J. Mach. Learn. Res. 13: 2923-2954 (2012) - [c39]Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, Shirish K. Shevade:
Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora. ECIR 2012: 388-400 - [c38]Pankaj Pipada, Achintya Kundu, Kanchi Gopinath, Chiranjib Bhattacharyya, Sai Susarla, P. C. Nagesh:
LoadIQ: Learning to Identify Workload Phases from a Live Storage Trace. HotStorage 2012 - [c37]Adway Mitra, Anoop Kolar Rajagopal, Ujwal D. Bonde, Chiranjib Bhattacharyya, K. R. Ramakrishnan:
Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking. ICASSP 2012: 1497-1500 - [c36]Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya:
Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media. ICDM 2012: 389-398 - [c35]Anoop Kolar Anoop, Adway Mitra, Ujwal D. Bonde, Chiranjib Bhattacharyya, K. R. Ramakrishnan:
Covariance profiles: A signature representation for object sets. ICPR 2012: 2541-2544 - [c34]Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi:
"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs". NIPS 2012: 1169-1177 - [c33]Aparna Mandke Dani, Bharadwaj Amrutur, Y. N. Srikant, Chiranjib Bhattacharyya:
TCP: Thread Contention Predictor for Parallel Programs. PDP 2012: 19-26 - [i3]Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya:
Dynamic Multi-Relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media. CoRR abs/1205.1456 (2012) - 2011
- [j17]Vinay Jethava
, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Goutham N. Vemuri:
NETGEM: Network Embedded Temporal GEnerative Model for gene expression data. BMC Bioinform. 12: 327 (2011) - [j16]Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya, Jagarlapudi Saketha Nath, Raman Sankaran:
Variable Sparsity Kernel Learning. J. Mach. Learn. Res. 12: 565-592 (2011) - [j15]Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, J. Saketha Nath:
Chance constrained uncertain classification via robust optimization. Math. Program. 127(1): 145-173 (2011) - [c32]Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib Bhattacharyya:
Supervised matching of comments with news article segments. CIKM 2011: 2125-2128 - [c31]Avinava Dubey, Indrajit Bhattacharya, Mrinal Kanti Das, Tanveer A. Faruquie, Chiranjib Bhattacharyya:
Learning Dirichlet Processes from Partially Observed Groups. ICDM 2011: 141-150 - [c30]Avinava Dubey, Soumen Chakrabarti, Chiranjib Bhattacharyya:
Diversity in ranking via resistive graph centers. KDD 2011: 78-86 - [c29]Himabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, Srujana Merugu:
Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments. SDM 2011: 498-509 - [c28]Vinay Jethava
, Liliana Calderón-Benavides
, Ricardo Baeza-Yates
, Chiranjib Bhattacharyya, Devdatt P. Dubhashi:
Scalable multi-dimensional user intent identification using tree structured distributions. SIGIR 2011: 395-404 - [c27]Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib Bhattacharyya:
ReadAlong: reading articles and comments together. WWW (Companion Volume) 2011: 125-126 - [i2]Chiru Bhattacharyya, S. Sathiya Keerthi:
Mean Field Methods for a Special Class of Belief Networks. CoRR abs/1106.0246 (2011) - 2010
- [c26]Rahul Kumar, Chiranjib Bhattacharyya, Virendra Varshneya:
Discovering Business Process Model from Unstructured Activity Logs. IEEE SCC 2010: 250-257 - [c25]Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, Kanchi Gopinath, Thirumale Niranjan, Sai Susarla:
Discovery of Application Workloads from Network File Traces. FAST 2010: 183-196 - [c24]Sahely Bhadra, Sourangshu Bhattacharya
, Chiranjib Bhattacharyya, Aharon Ben-Tal:
Robust Formulations for Handling Uncertainty in Kernel Matrices. ICML 2010: 71-78 - [c23]Anoop Kolar Rajagopal, R. S. Narasimhan, K. R. Ramakrishnan, Chiranjib Bhattacharyya:
Free form face recognition using kernel sparse representation. ICVGIP 2010: 109-116 - [c22]Achintya Kundu, Vikram Tankasali, Chiranjib Bhattacharyya, Aharon Ben-Tal:
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions. NIPS 2010: 1198-1206 - [c21]Rashad M. Jillani
, Urvang Joshi, Chiranjib Bhattacharyya, Hari Kalva, R. K. Ramakrishnan:
Video coding mode decision as a classification problem. Visual Information Processing and Communication 2010: 75430X
2000 – 2009
- 2009
- [j14]Sahely Bhadra, Chiranjib Bhattacharyya, Nagasuma R. Chandra
, I. Saira Mian:
A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data. Algorithms Mol. Biol. 4 (2009) - [j13]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:
RAPID: Resource of Asian Primary Immunodeficiency Diseases. Nucleic Acids Res. 37(Database-Issue): 863-867 (2009) - [c20]Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, Soumen Chakrabarti:
Conditional Models for Non-smooth Ranking Loss Functions. ICDM 2009: 129-138 - [c19]Vipul Agarwal
, Chiranjib Bhattacharyya, Thirumale Niranjan, Sai Susarla:
Discovering Rules from Disk Events for Predicting Hard Drive Failures. ICMLA 2009: 782-786 - [c18]Jagarlapudi Saketha Nath, G. Dinesh, Raman Sankaran, Chiranjib Bhattacharyya, Aharon Ben-Tal, K. R. Ramakrishnan:
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation. NIPS 2009: 844-852 - [c17]Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Chiranjib Bhattacharyya:
Interval Data Classification under Partial Information: A Chance-Constraint Approach. PAKDD 2009: 208-219 - [i1]Vinay Jethava, Krishnan Suresh, Chiranjib Bhattacharyya, Ramesh Hariharan:
Randomized Algorithms for Large scale SVMs. CoRR abs/0909.3609 (2009) - 2008
- [j12]Karthik Kumara, Rahul Agrawal
, Chiranjib Bhattacharyya:
A large margin approach for writer independent online handwriting classification. Pattern Recognit. Lett. 29(7): 933-937 (2008) - [c16]Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chiru Bhattacharyya:
Structured learning for non-smooth ranking losses. KDD 2008: 88-96 - [p1]M. Narasimha Murty, Rashmin Babaria, Chiranjib Bhattacharyya:
Clustering Based on Genetic Algorithms. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 137-159 - 2007
- [j11]Sourangshu Bhattacharya
, Chiranjib Bhattacharyya, Nagasuma R. Chandra
:
Comparison of protein structures by growing neighborhood alignments. BMC Bioinform. 8 (2007) - [c15]E. Sriraghavendra, K. Karthik, Chiranjib Bhattacharyya:
Fréchet Distance Based Approach for Searching Online Handwritten Documents. ICDAR 2007: 461-465 - [c14]Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty:
Focused crawling with scalable ordinal regression solvers. ICML 2007: 57-64 - [c13]Sourangshu Bhattacharya
, Chiranjib Bhattacharyya, Nagasuma R. Chandra
:
Structural alignment based kernels for protein structure classification. ICML 2007: 73-80 - [c12]K. R. Sivaramakrishnan, K. Karthik, Chiranjib Bhattacharyya:
Kernels for Large Margin Time-Series Classification. IJCNN 2007: 2746-2751 - [c11]Krishnan Kumar, Chiru Bhattacharyya, Ramesh Hariharan:
A Randomized Algorithm for Large Scale Support Vector Learning. NIPS 2007: 793-800 - [c10]Mehul Parsana, Sourangshu Bhattacharya
, Chiru Bhattacharyya, K. R. Ramakrishnan:
Kernels on Attributed Pointsets with Applications. NIPS 2007: 1129-1136 - [c9]J. Saketha Nath, Chiranjib Bhattacharyya:
Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates. SDM 2007: 35-46 - 2006
- [j10]Sourangshu Bhattacharya
, Chiranjib Bhattacharyya, Nagasuma R. Chandra
:
Projections for fast protein structure retrieval. BMC Bioinform. 7(S-5) (2006) - [j9]Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, Alexander J. Smola:
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data. J. Mach. Learn. Res. 7: 1283-1314 (2006) - [c8]J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty:
Clustering based large margin classification: a scalable approach using SOCP formulation. KDD 2006: 674-679 - 2005
- [c7]H. M. Prasanna, Debasish Ghose, M. Seetharama Bhat, Chiranjib Bhattacharyya, J. Umakant:
Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming. ICCSA (4) 2005: 548-557 - 2004
- [j8]Chiranjib Bhattacharyya, L. R. Grate, Michael I. Jordan, Laurent El Ghaoui, I. Saira Mian:
Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data. J. Comput. Biol. 11(6): 1073-1089 (2004) - [j7]Chiranjib Bhattacharyya:
Second Order Cone Programming Formulations for Feature Selection. J. Mach. Learn. Res. 5: 1417-1433 (2004) - [c6]Niranjan K. Boora, Chiranjib Bhattacharyya, Kanchi Gopinath:
Efficient Algorithms for Intrusion Detection. ICDCIT 2004: 346-352 - [c5]K. R. Sivaramakrishnan, Chiranjib Bhattacharyya:
Time Series Classification for Online Tamil Handwritten Character Recognition - A Kernel Based Approach. ICONIP 2004: 800-805 - [c4]Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy, Alexander J. Smola:
A Second Order Cone programming Formulation for Classifying Missing Data. NIPS 2004: 153-160 - 2003
- [j6]Chiranjib Bhattacharyya, L. R. Grate, A. Rizki, D. Radisky, F. J. Molina, Michael I. Jordan, Mina J. Bissell, I. Saira Mian:
Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data. Signal Process. 83(4): 729-743 (2003) - 2002
- [j5]Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan:
A Robust Minimax Approach to Classification. J. Mach. Learn. Res. 3: 555-582 (2002) - [c3]L. R. Grate, Chiranjib Bhattacharyya, Michael I. Jordan, I. Saira Mian:
Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces. WABI 2002: 1-9 - 2001
- [j4]Chiranjib Bhattacharyya, S. Sathiya Keerthi:
Mean Field Methods for a Special Class of Belief Networks. J. Artif. Intell. Res. 15: 91-114 (2001)