Chiranjib Bhattacharyya

Affiliations:
  • ERNET, India


According to our database1, Chiranjib Bhattacharyya authored at least 112 papers between 2000 and 2022.

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Bibliography

2022
How many Clusters? - An algorithmic answer.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

2021
Predicting the DNA Conductance Using a Deep Feedforward Neural Network Model.
J. Chem. Inf. Model., 2021

DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder.
CoRR, 2021

Can Non-Humanoid Social Robots Reduce Workload of Special Educators : An Online and In-Premises Field Study.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Finding k in Latent k- polytope.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning a Latent Simplex in Input Sparsity Time.
Proceedings of the 9th International Conference on Learning Representations, 2021

Rawlsian Fair Adaptation of Deep Learning Classifiers.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Algorithms for finding k in k-means.
CoRR, 2020

On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime.
CoRR, 2020

Finding a latent <i>k</i>-simplex in <i>O</i>* (<i>k</i> · nnz(data)) time via Subset Smoothing.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Learning With Subquadratic Regularization : A Primal-Dual Approach.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing.
CoRR, 2019

Regulating Drones in Restricted Spaces.
Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, 2019

Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Optimizing DNN Architectures for High Speed Autonomous Navigation in GPS Denied Environments on Edge Devices.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Word2Sense: Sparse Interpretable Word Embeddings.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

How Many Pairwise Preferences Do We Need to Rank a Graph Consistently?
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Graph Convolutional Networks based Word Embeddings.
CoRR, 2018

Using Inherent Structures to design Lean 2-layer RBMs.
Proceedings of the 35th International Conference on Machine Learning, 2018

Weight-Agnostic Hierarchical Stick-Breaking Process.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Corpus-Based Translation Induction in Indian Languages Using Auxiliary Language Corpora from Wikipedia.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2017

Bayesian Modeling of Temporal Coherence in Videos for Entity Discovery and Summarization.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Vine copulas for mixed data : multi-view clustering for mixed data beyond meta-Gaussian dependencies.
Mach. Learn., 2017

Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery.
Proceedings of the 34th International Conference on Machine Learning, 2017

SOPER: Discovering the Influence of Fashion and the Many Faces of User from Session Logs using Stick Breaking Process.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L<sub>1</sub>-norms.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials.
Bioinform., 2016

Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Non-negative Matrix Factorization under Heavy Noise.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Temporally Coherent CRP: A Bayesian Non-Parametric Approach for Clustering Tracklets with applications to Person Discovery in Videos.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Spectral Norm Regularization of Orthonormal Representations for Graph Transduction.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos.
CoRR, 2014

Controlled Sparsity Kernel Learning.
CoRR, 2014

Going beyond Corr-LDA for detecting specific comments on news & blogs.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Learning on graphs using Orthonormal Representation is Statistically Consistent.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A provable SVD-based algorithm for learning topics in dominant admixture corpus.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Global graph kernels using geometric embeddings.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Lovász ϑ function, SVMs and finding dense subgraphs.
J. Mach. Learn. Res., 2013

Lovasz ϑ, SVMs and applications.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically.
Proceedings of the 30th International Conference on Machine Learning, 2013

Elastic Resources Framework in IaaS, Preserving Performance SLAs.
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

2012
Efficient methods for robust classification under uncertainty in kernel matrices.
J. Mach. Learn. Res., 2012

TCP: Thread Contention Predictor for Parallel Programs.
Proceedings of the 20th Euromicro International Conference on Parallel, 2012

"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs".
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Covariance profiles: A signature representation for object sets.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Eigen-profiles of spatio-temporal fragments for adaptive region-based tracking.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

LoadIQ: Learning to Identify Workload Phases from a Live Storage Trace.
Proceedings of the 4th USENIX Workshop on Hot Topics in Storage and File Systems, 2012

Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora.
Proceedings of the Advances in Information Retrieval, 2012

2011
Chance constrained uncertain classification via robust optimization.
Math. Program., 2011

Variable Sparsity Kernel Learning.
J. Mach. Learn. Res., 2011

NETGEM: Network Embedded Temporal GEnerative Model for gene expression data.
BMC Bioinform., 2011

ReadAlong: reading articles and comments together.
Proceedings of the 20th International Conference on World Wide Web, 2011

Scalable multi-dimensional user intent identification using tree structured distributions.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Diversity in ranking via resistive graph centers.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Learning Dirichlet Processes from Partially Observed Groups.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Supervised matching of comments with news article segments.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Video coding mode decision as a classification problem.
Proceedings of the Visual Information Processing and Communication, 2010

Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Free form face recognition using kernel sparse representation.
Proceedings of the Seventh Indian Conference on Computer Vision, 2010

Robust Formulations for Handling Uncertainty in Kernel Matrices.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Discovery of Application Workloads from Network File Traces.
Proceedings of the 8th USENIX Conference on File and Storage Technologies, 2010

Discovering Business Process Model from Unstructured Activity Logs.
Proceedings of the 2010 IEEE International Conference on Services Computing, 2010

2009
RAPID: Resource of Asian Primary Immunodeficiency Diseases.
Nucleic Acids Res., 2009

Randomized Algorithms for Large scale SVMs
CoRR, 2009

A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data.
Algorithms Mol. Biol., 2009

Interval Data Classification under Partial Information: A Chance-Constraint Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Discovering Rules from Disk Events for Predicting Hard Drive Failures.
Proceedings of the International Conference on Machine Learning and Applications, 2009

Conditional Models for Non-smooth Ranking Loss Functions.
Proceedings of the ICDM 2009, 2009

2008
Clustering Based on Genetic Algorithms.
Proceedings of the Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008

A large margin approach for writer independent online handwriting classification.
Pattern Recognit. Lett., 2008

Structured learning for non-smooth ranking losses.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
Comparison of protein structures by growing neighborhood alignments.
BMC Bioinform., 2007

Maximum Margin Classifiers with Specified False Positive and False Negative Error Rates.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Kernels on Attributed Pointsets with Applications.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Randomized Algorithm for Large Scale Support Vector Learning.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Kernels for Large Margin Time-Series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2007

Structural alignment based kernels for protein structure classification.
Proceedings of the Machine Learning, 2007

Focused crawling with scalable ordinal regression solvers.
Proceedings of the Machine Learning, 2007

Fréchet Distance Based Approach for Searching Online Handwritten Documents.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

2006
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data.
J. Mach. Learn. Res., 2006

Projections for fast protein structure retrieval.
BMC Bioinform., 2006

Clustering based large margin classification: a scalable approach using SOCP formulation.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005
Ascent Phase Trajectory Optimization for a Hypersonic Vehicle Using Nonlinear Programming.
Proceedings of the Computational Science and Its Applications, 2005

2004
Second Order Cone Programming Formulations for Feature Selection.
J. Mach. Learn. Res., 2004

Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data.
J. Comput. Biol., 2004

A Second Order Cone programming Formulation for Classifying Missing Data.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Time Series Classification for Online Tamil Handwritten Character Recognition - A Kernel Based Approach.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Efficient Algorithms for Intrusion Detection.
Proceedings of the Distributed Computing and Internet Technology, 2004

2003
Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data.
Signal Process., 2003

2002
A Robust Minimax Approach to Classification.
J. Mach. Learn. Res., 2002

Simultaneous Relevant Feature Identification and Classification in High-Dimensional Spaces.
Proceedings of the Algorithms in Bioinformatics, Second International Workshop, 2002

2001
Improvements to Platt's SMO Algorithm for SVM Classifier Design.
Neural Comput., 2001

Mean Field Methods for a Special Class of Belief Networks.
J. Artif. Intell. Res., 2001

Minimax Probability Machine.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Improvements to the SMO algorithm for SVM regression.
IEEE Trans. Neural Networks Learn. Syst., 2000

A fast iterative nearest point algorithm for support vector machine classifier design.
IEEE Trans. Neural Networks Learn. Syst., 2000

A Variational Mean-Field Theory for Sigmoidal Belief Networks.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000


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