Chiranjib Bhattacharyya

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 50

Top Venues

CoRR

ICML

NIPS

AISTATS

Publications

Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
Random Separating Hyperplane Theorem and Learning Polytopes. ICALP (2024)
Chaitanya Murti, Dhruva Kashyap, Chiranjib Bhattacharyya
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields. AISTATS (2024)
Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Alexandru Gheorghiu
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms. CoRR (2024)
Tanay Narshana, Chaitanya Murti, Chiranjib Bhattacharyya
DFPC: Data flow driven pruning of coupled channels without data. ICLR (2023)
Niranjan Damera Venkata, Chiranjib Bhattacharyya
Deep Recurrent Optimal Stopping. NeurIPS (2023)
Chaitanya Murti, Tanay Narshana, Chiranjib Bhattacharyya
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning. ICLR (2023)
Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
Random Separating Hyperplane Theorem and Learning Polytopes. CoRR (2023)
Ravi Raja, Stanly Samuel, Chiranjib Bhattacharyya, Deepak D'Souza, Aditya Kanade
BNSynth: Bounded Boolean Functional Synthesis. CoRR (2022)
Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
Analysis of Knowledge Transfer in Kernel Regime. CIKM (2022)
Abhay Shastry, Abhijith J., Apoorva D. Patel, Chiranjib Bhattacharyya
Reliable quantum kernel classification using fewer circuit evaluations. CoRR (2022)
Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
How many Clusters? - An algorithmic answer. SODA (2022)
Niranjan Damera Venkata, Chiranjib Bhattacharyya
When to Intervene: Learning Optimal Intervention Policies for Critical Events. NeurIPS (2022)
Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya
Rawlsian Fair Adaptation of Deep Learning Classifiers. AIES (2021)
Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya
Rawlsian Fair Adaptation of Deep Learning Classifiers. CoRR (2021)
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) (2021)
Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David P. Woodruff, Samson Zhou
Learning a Latent Simplex in Input-Sparsity Time. CoRR (2021)
Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
Finding k in Latent k- polytope. ICML (2021)
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)
Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David P. Woodruff, Samson Zhou
Learning a Latent Simplex in Input Sparsity Time. ICLR (2021)
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 (2021)
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)
Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya
Learning With Subquadratic Regularization : A Primal-Dual Approach. IJCAI (2020)
Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
Algorithms for finding k in k-means. CoRR (2020)
Chiranjib Bhattacharyya, Ravindran Kannan
· nnz(data)) time via Subset Smoothing. SODA (2020)
Chiranjib Bhattacharyya, Ravindran Kannan
Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures. ICML (2020)
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 (2020)
Abhishek Panigrahi, Harsha Vardhan Simhadri, Chiranjib Bhattacharyya
Word2Sense: Sparse Interpretable Word Embeddings. ACL (1) (2019)
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)
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya
How Many Pairwise Preferences Do We Need to Rank a Graph Consistently? AAAI (2019)
Aadirupa Saha, Shreyas Sheshadri, Chiranjib Bhattacharyya
Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits. UAI (2019)
Abhishek Vijeev, Vinod Ganapathy, Chiranjib Bhattacharyya
Regulating Drones in Restricted Spaces. HotMobile (2019)
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)
Chiranjib Bhattacharyya, Ravindran Kannan
Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing. CoRR (2019)
Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar
Graph Convolutional Networks based Word Embeddings. CoRR (2018)
Mrinal Kanti Das, Chiranjib Bhattacharyya
Weight-Agnostic Hierarchical Stick-Breaking Process. ICBK (2018)
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya
How Many Pairwise Preferences Do We Need to Rank A Graph Consistently? CoRR (2018)
Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya
Using Inherent Structures to design Lean 2-layer RBMs. CoRR (2018)
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)
Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. CoRR (2018)
Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. EMNLP (2018)
Abhishek Bansal, Abhinav Anand, Chiranjib Bhattacharyya
Using Inherent Structures to design Lean 2-layer RBMs. ICML (2018)
Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. ICML (2017)
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) (2017)
Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya
-norms. AISTATS (2017)
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)
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) (2017)
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) (2017)
Sumanta Mukherjee, Chiranjib Bhattacharyya, Nagasuma Chandra
HLaffy: estimating peptide affinities for Class-1 HLA molecules by learning position-specific pair potentials. Bioinform. 32 (15) (2016)
Chiranjib Bhattacharyya, Navin Goyal, Ravindran Kannan, Jagdeep Pani
Non-negative Matrix Factorization under Heavy Noise. ICML (2016)
Lavanya Sita Tekumalla, Chiranjib Bhattacharyya
Copula-HDP-HMM: Non-parametric Modeling of Temporal Multivariate Data for I/O Efficient Bulk Cache Preloading. SDM (2016)
Trapit Bansal, Mrinal Kanti Das, Chiranjib Bhattacharyya
Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles. RecSys (2015)
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)
Goutham Tholpadi, Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence. AAAI (2015)
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)
Adway Mitra, Chiranjib Bhattacharyya, Soma Biswas
EntScene: Nonparametric Bayesian Temporal Segmentation of Videos Aimed at Entity-Driven Scene Detection. IJCAI (2015)
Goutham Tholpadi, Chiranjib Bhattacharyya, Shirish K. Shevade
Translation Induction on Indian Language Corpora Using Translingual Themes from Other Languages. CICLing (1) (2015)
Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models. ICML (2015)
Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis R. Bach
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction. NIPS (2015)
Lavanya Sita Tekumalla, Chiranjib Bhattacharyya
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson. SDM (2015)
Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, Chiranjib Bhattacharyya
Global graph kernels using geometric embeddings. ICML (2014)
Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan
A provable SVD-based algorithm for learning topics in dominant admixture corpus. CoRR (2014)
Rakesh Shivanna, Chiranjib Bhattacharyya
Learning on graphs using Orthonormal Representation is Statistically Consistent. NIPS (2014)
Lavanya Sita Tekumalla, Chiranjib Bhattacharyya
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson. CoRR (2014)
Dinesh Govindaraj, Raman Sankaran, Sreedal Menon, Chiranjib Bhattacharyya
Controlled Sparsity Kernel Learning. CoRR (2014)
Trapit Bansal, Chiranjib Bhattacharyya, Ravindran Kannan
A provable SVD-based algorithm for learning topics in dominant admixture corpus. NIPS (2014)
Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya
Going beyond Corr-LDA for detecting specific comments on news & blogs. WSDM (2014)
Adway Mitra, Soma Biswas, Chiranjib Bhattacharyya
Temporally Coherent Chinese Restaurant Process for Discovery of Persons and Corresponding Tracklets from User-generated Videos. CoRR (2014)
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
Lovász ϑ function, SVMs and finding dense subgraphs. J. Mach. Learn. Res. 14 (1) (2013)
Mohit Dhingra, J. Lakshmi, S. K. Nandy, Chiranjib Bhattacharyya, Kanchi Gopinath
Elastic Resources Framework in IaaS, Preserving Performance SLAs. IEEE CLOUD (2013)
Vinay Jethava, Jacob Sznajdman, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
Lovasz ϑ, SVMs and applications. ITW (2013)
Mrinal Kanti Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, Kanchi Gopinath
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically. ICML (2) (2013)
Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya
Dynamic Multi-relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media. ICDM (2012)
Himabindu Lakkaraju, Indrajit Bhattacharya, Chiranjib Bhattacharyya
Dynamic Multi-Relational Chinese Restaurant Process for Analyzing Influences on Users in Social Media CoRR (2012)
Anoop Kolar Anoop, Adway Mitra, Ujwal D. Bonde, Chiranjib Bhattacharyya, K. R. Ramakrishnan
Covariance profiles: A signature representation for object sets. ICPR (2012)
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)
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)
Goutham Tholpadi, Mrinal Kanti Das, Chiranjib Bhattacharyya, Shirish K. Shevade
Cluster Labeling for Multilingual Scatter/Gather Using Comparable Corpora. ECIR (2012)
Aparna Mandke Dani, Bharadwaj Amrutur, Y. N. Srikant, Chiranjib Bhattacharyya
TCP: Thread Contention Predictor for Parallel Programs. PDP (2012)
Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, Arkadi Nemirovski
Efficient methods for robust classification under uncertainty in kernel matrices. J. Mach. Learn. Res. 13 (2012)
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs". NIPS (2012)
Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, J. Saketha Nath
Chance constrained uncertain classification via robust optimization. Math. Program. 127 (1) (2011)
Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib Bhattacharyya
ReadAlong: reading articles and comments together. WWW (Companion Volume) (2011)
Avinava Dubey, Soumen Chakrabarti, Chiranjib Bhattacharyya
Diversity in ranking via resistive graph centers. KDD (2011)
Vinay Jethava, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Goutham N. Vemuri
NETGEM: Network Embedded Temporal GEnerative Model for gene expression data. BMC Bioinform. 12 (2011)
Avinava Dubey, Indrajit Bhattacharya, Mrinal Kanti Das, Tanveer A. Faruquie, Chiranjib Bhattacharyya
Learning Dirichlet Processes from Partially Observed Groups. ICDM (2011)
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattacharyya, Jagarlapudi Saketha Nath, Raman Sankaran
Variable Sparsity Kernel Learning. J. Mach. Learn. Res. 12 (2011)
Himabindu Lakkaraju, Chiranjib Bhattacharyya, Indrajit Bhattacharya, Srujana Merugu
Exploiting Coherence for the Simultaneous Discovery of Latent Facets and associated Sentiments. SDM (2011)
Dyut Kumar Sil, Srinivasan H. Sengamedu, Chiranjib Bhattacharyya
Supervised matching of comments with news article segments. CIKM (2011)
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)
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)
Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib Bhattacharyya, Aharon Ben-Tal
Robust Formulations for Handling Uncertainty in Kernel Matrices. ICML (2010)
Anoop Kolar Rajagopal, R. S. Narasimhan, K. R. Ramakrishnan, Chiranjib Bhattacharyya
Free form face recognition using kernel sparse representation. ICVGIP (2010)
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, Kanchi Gopinath, Thirumale Niranjan, Sai Susarla
Discovery of Application Workloads from Network File Traces. FAST (2010)
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)
Rahul Kumar, Chiranjib Bhattacharyya, Virendra Varshneya
Discovering Business Process Model from Unstructured Activity Logs. IEEE SCC (2010)
Avinava Dubey, Jinesh Machchhar, Chiranjib Bhattacharyya, Soumen Chakrabarti
Conditional Models for Non-smooth Ranking Loss Functions. ICDM (2009)
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)
Sahely Bhadra, J. Saketha Nath, Aharon Ben-Tal, Chiranjib Bhattacharyya
Interval Data Classification under Partial Information: A Chance-Constraint Approach. PAKDD (2009)
Vinay Jethava, Krishnan Suresh, Chiranjib Bhattacharyya, Ramesh Hariharan
Randomized Algorithms for Large scale SVMs CoRR (2009)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chiranjib Bhattacharyya