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ORCIDChiranjib Bhattacharyya
Chiru Bhattacharyya
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- affiliation: ERNET, India
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2020 – today
- 2024
[c86]Chaitanya Murti, Dhruva Kashyap, Chiranjib Bhattacharyya:
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields. AISTATS 2024: 3781-3789- [c85]Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar:
Random Separating Hyperplane Theorem and Learning Polytopes. ICALP 2024: 25:1-25:20 - [i21]Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Alexandru Gheorghiu:
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms. CoRR abs/2405.18489 (2024) - 2023
- [c84]Chaitanya Murti, Tanay Narshana, Chiranjib Bhattacharyya:
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning. ICLR 2023 - [c83]Tanay Narshana, Chaitanya Murti, Chiranjib Bhattacharyya:
DFPC: Data flow driven pruning of coupled channels without data. ICLR 2023 - [c82]Niranjan Damera Venkata, Chiranjib Bhattacharyya:
Deep Recurrent Optimal Stopping. NeurIPS 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 Jayakumar, 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 Maqbool 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) - [j3]S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy:
Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Comput. 13(3): 637-649 (2001) - [c2]Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan:
Minimax Probability Machine. NIPS 2001: 801-807 - 2000
- [j2]S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy:
A fast iterative nearest point algorithm for support vector machine classifier design. IEEE Trans. Neural Networks Learn. Syst. 11(1): 124-136 (2000) - [j1]Shirish K. Shevade, S. Sathiya Keerthi, Chiranjib Bhattacharyya, K. R. K. Murthy:
Improvements to the SMO algorithm for SVM regression. IEEE Trans. Neural Networks Learn. Syst. 11(5): 1188-1193 (2000) - [c1]Chiranjib Bhattacharyya, S. Sathiya Keerthi:
A Variational Mean-Field Theory for Sigmoidal Belief Networks. NIPS 2000: 374-380
Coauthor Index
Ravi Kannan
aka: Ravindran Kannan
aka: Ravindran Kannan
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