Devdatt P. Dubhashi

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 37

Top Topics

Heterogeneous Computing

Extractive Summarization

Convex Functions

Correlation Clustering

Top Venues

Publications

Emil Carlsson, Debabrota Basu, Fredrik D. Johansson, Devdatt P. Dubhashi
Pure Exploration in Bandits with Linear Constraints. AISTATS (2024)
Herman Bergström, Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
Active Preference Learning for Ordering Items In- and Out-of-sample. CoRR (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)
Emil Carlsson, Debabrota Basu, Fredrik D. Johansson, Devdatt P. Dubhashi
Pure Exploration in Bandits with Linear Constraints. CoRR (2023)
Emil Carlsson, Devdatt P. Dubhashi, Terry Regier
Iterated learning and communication jointly explain efficient color naming systems. CoRR (2023)
Emil Carlsson, Devdatt P. Dubhashi, Terry Regier
Iterated learning and communication jointly explain efficient color naming systems. CogSci (2023)
Emil Carlsson, Devdatt P. Dubhashi
Pragmatic Reasoning in Structured Signaling Games. CoRR (2023)
David Bosch, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhashi
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves. AISTATS (2023)
Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi, Hamid Krim
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework. ICML (2023)
Arman Rahbar, Emilio Jorge, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
Do Kernel and Neural Embeddings Help in Training and Generalization? Neural Process. Lett. 55 (2) (2023)
Adel Daoud, Felipe Jordan, Makkunda Sharma, Fredrik D. Johansson, Devdatt P. Dubhashi, Sourabh Bikash Paul, Subhashis Banerjee
Using satellites and artificial intelligence to measure health and material-living standards in India. CoRR (2022)
Devdatt P. Dubhashi
Can universities combat the 'wrong kind of AI'? Commun. ACM 65 (12) (2022)
Emil Carlsson, Devdatt P. Dubhashi
Pragmatic Reasoning in Structured Signaling Games. CogSci (2022)
Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
Analysis of Knowledge Transfer in Kernel Regime. CIKM (2022)
Devdatt P. Dubhashi
AI futures: fact and fantasy. Commun. ACM 64 (10) (2021)
Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
Thompson Sampling for Bandits with Clustered Arms. IJCAI (2021)
Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
Learning Approximate and Exact Numeral Systems via Reinforcement Learning. CoRR (2021)
Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
Learning Approximate and Exact Numeral Systems via Reinforcement Learning. CogSci (2021)
Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
Thompson Sampling for Bandits with Clustered Arms. CoRR (2021)
Adel Daoud, Devdatt P. Dubhashi
Statistical modeling: the three cultures. CoRR (2020)
Behzad Salami, Konstantinos Parasyris, Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jiménez, Carlos Álvarez, Seyed Saber Nabavi Larimi, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Mustafa Abduljabbar, Jing Chen, Pirah Noor Soomro, Madhavan Manivannan, Micha vor dem Berge, Stefan Krupop, Frank Klawonn, Al Mekhlafi, Sigrun May, Tobias Becker, Georgi Gaydadjiev, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser, Nils Kucza, Jens Hagemeyer, René Griessl, Lennart Tigges, K. Mika, A. Hüffmeier, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. DATE (2020)
Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav Marathe, Srinivasan Venkatramanan, Anil Vullikanti
Models for COVID-19 Pandemic: A Comparative Analysis. CoRR (2020)
Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
Accelerated proximal incremental algorithm schemes for non-strongly convex functions. Theor. Comput. Sci. 812 (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)
Behzad Salami, Konstantinos Parasyris, Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel A. Jiménez, Carlos Álvarez, S. Nabavi, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Mustafa Abduljabbar, Jing Chen, Pirah Noor Soomro, Madhavan Manivannan, Micha vor dem Berge, Stefan Krupop, Frank Klawonn, Al Mekhlafi, Sigrun May, Tobias Becker, Georgi Gaydadjiev, D. Odman, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser, Nils Kucza, Jens Hagemeyer, René Griessl, Lennart Tigges, K. Mika, A. Hüffmeier, Th. Jungeblu, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. CoRR (2019)
Erik Thiel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
A Non-Convex Optimization Approach to Correlation Clustering. AAAI (2019)
Emilio Jorge, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization. CoRR (2019)
Ashkan Panahi, Erik Thiel, Morteza Haghir Cheraghani, Devdatt P. Dubhashi
Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer. CoRR (2019)
Andreas Ekström, Christian Forssén, Christos Dimitrakakis, Devdatt P. Dubhashi, Håkan T. Johansson, Azam Sheikh Muhammad, Hans Salomonsson, Alexander Schliep
Bayesian optimization in ab initio nuclear physics. CoRR (2019)
Mikael Kågebäck, Devdatt P. Dubhashi, Asad B. Sayeed
DeepColor: Reinforcement Learning optimizes information efficiency and well-formedness in color name partitioning. CogSci (2018)
Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel Jiménez-González, Carlos Álvarez, Behzad Salami, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Micha vor dem Berge, Gunnar Billung-Meyer, Stefan Krupop, Wolfgang Christmann, Frank Klawonn, Amani Mihklafi, Tobias Becker, Georgi Gaydadjiev, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Vesna Nowack, Christof Fetzer, Jens Hagemeyer, Thorsten Jungeblut, Nils Kucza, Martin Kaiser, Mario Porrmann, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber
LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing. CF (2018)
Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel Jiménez-González, Carlos Álvarez, Behzad Salami, Sergi Madonar, Miquel Pericàs, Pedro Trancoso, Micha vor dem Berge, Gunnar Billung-Meyer, Stefan Krupop, Wolfgang Christmann, Frank Klawonn, Amani Mihklafi, Tobias Becker, Georgi Gaydadjiev, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Elad Hadar, Yoav Etsion, Christof Fetzer, Jens Hagemeyer, Thorsten Jungeblut, Nils Kucza, Martin Kaiser, Mario Porrmann, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber
LEGaTO: first steps towards energy-efficient toolset for heterogeneous computing. SAMOS (2018)
Vinay Jethava, Devdatt P. Dubhashi
GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference. CoRR (2017)
Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. ICML (2017)
Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi
Thompson Sampling For Stochastic Bandits with Graph Feedback. CoRR (2017)
Devdatt P. Dubhashi, Shalom Lappin
AI dangers: imagined and real. Commun. ACM 60 (2) (2017)
Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi
Thompson Sampling for Stochastic Bandits with Graph Feedback. AAAI (2017)
Mikael Kågebäck, Fredrik D. Johansson, Richard Johansson, Devdatt P. Dubhashi
Neural context embeddings for automatic discovery of word senses. VS@HLT-NAACL (2015)
Fredrik D. Johansson, Otto Frost, Carl Retzner, Devdatt P. Dubhashi
Classifying Large Graphs with Differential Privacy. MDAI (2015)
Olof Mogren, Mikael Kågebäck, Devdatt P. Dubhashi
Extractive Summarization by Aggregating Multiple Similarities. RANLP (2015)
Nina Tahmasebi, Lars Borin, Gabriele Capannini, Devdatt P. Dubhashi, Peter Exner, Markus Forsberg, Gerhard Gossen, Fredrik D. Johansson, Richard Johansson, Mikael Kågebäck, Olof Mogren, Pierre Nugues, Thomas Risse
Visions and open challenges for a knowledge-based culturomics. Int. J. Digit. Libr. 15 (2-4) (2015)
Fredrik D. Johansson, Devdatt P. Dubhashi
Learning with Similarity Functions on Graphs using Matchings of Geometric Embeddings. KDD (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)
Cezary Mazurek, Juliusz Pukacki, Michal Kosiedowski, Szymon Trocha, Michael Sullivan, Hemant Darbari, Amit Saxena, Rajendra Joshi, Devdatt P. Dubhashi, Subazini Thankaswamy, Paul R. Brenner, Sandra Gesing, Jarek Nabrzyski, Anil Srivastava
Federated clouds for biomedical research: Integrating OpenStack for ICTBioMed. CloudNet (2014)
Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, Chiranjib Bhattacharyya
Global graph kernels using geometric embeddings. ICML (2014)
Mikael Kågebäck, Olof Mogren, Nina Tahmasebi, Devdatt P. Dubhashi
Extractive Summarization using Continuous Vector Space Models. CVSC@EACL (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)
Lars Borin, Devdatt P. Dubhashi, Markus Forsberg, Richard Johansson, Dimitrios Kokkinakis, Pierre Nugues
Mining semantics for culturomics: towards a knowledge-based approach. UnstructureNLP@CIKM (2013)
Linus Hermansson, Tommi Kerola, Fredrik Johansson, Vinay Jethava, Devdatt P. Dubhashi
Entity disambiguation in anonymized graphs using graph kernels. CIKM (2013)
Fredrik Johansson, Vinay Jethava, Devdatt P. Dubhashi
DLOREAN: Dynamic Location-Aware Reconstruction of Multiway Networks. ICDM Workshops (2013)
Vinay Jethava, Jacob Sznajdman, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
Lovasz ϑ, SVMs and applications. ITW (2013)
Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs". NIPS (2012)
Vinay Jethava, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Goutham N. Vemuri
NETGEM: Network Embedded Temporal GEnerative Model for gene expression data. BMC Bioinform. 12 (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)
Olof Mogren, Oskar Sandberg, Vilhelm Verendel, Devdatt P. Dubhashi
Adaptive Dynamics of Realistic Small-World Networks CoRR (2008)
Devdatt P. Dubhashi, Olle Häggström, Gabriele Mambrini, Alessandro Panconesi, Chiara Petrioli
Blue pleiades, a new solution for device discovery and scatternet formation in multi-hop Bluetooth networks. Wirel. Networks 13 (1) (2007)
Devdatt P. Dubhashi, Olle Häggström, Lorenzo Orecchia, Alessandro Panconesi, Chiara Petrioli, Andrea Vitaletti
Localized Techniques for Broadcasting in Wireless Sensor Networks. Algorithmica 49 (4) (2007)
Andreas Baltz, Devdatt P. Dubhashi, Anand Srivastav, Libertad Tansini, Sören Werth
Probabilistic analysis for a multiple depot vehicle routing problem. Random Struct. Algorithms 30 (1-2) (2007)
Devdatt P. Dubhashi, Johan Jonasson, Desh Ranjan
Positive Influence and Negative Dependence. Comb. Probab. Comput. 16 (1) (2007)
Daniel Dalevi, Devdatt P. Dubhashi, Malte Hermansson
Bayesian classifiers for detecting HGT using fixed and variable order markov models of genomic signatures. Bioinform. 22 (5) (2006)
Lars Otten, Mattias Grönkvist, Devdatt P. Dubhashi
Randomization in Constraint Programming for Airline Planning. CP (2006)
Devdatt P. Dubhashi, Alessandro Mei, Alessandro Panconesi, Jaikumar Radhakrishnan, Aravind Srinivasan
Fast distributed algorithms for (weakly) connected dominating sets and linear-size skeletons. J. Comput. Syst. Sci. 71 (4) (2005)
Daniel Dalevi, Devdatt P. Dubhashi
The Peres-Shields Order Estimator for Fixed and Variable Length Markov Models with Applications to DNA Sequence Similarity. WABI (2005)
Andreas Baltz, Devdatt P. Dubhashi, Libertad Tansini, Anand Srivastav, Sören Werth
Probabilistic Analysis for a Multiple Depot Vehicle Routing Problem. FSTTCS (2005)
Devdatt P. Dubhashi, C. Johansson, Olle Häggström, Alessandro Panconesi, Mauro Sozio
Irrigating ad hoc networks in constant time. SPAA (2005)
Devdatt P. Dubhashi, Luigi Laura, Alessandro Panconesi
Analysis and Experimental Evaluation of a Simple Algorithm for Collaborative Filtering in Planted Partition Models: Extended Abstract. FSTTCS (2003)
Devdatt P. Dubhashi, Alessandro Mei, Alessandro Panconesi, Jaikumar Radhakrishnan, Aravind Srinivasan
Fast distributed algorithms for (weakly) connected dominating sets and linear-size skeletons. SODA (2003)
Devdatt P. Dubhashi, David A. Grable, Alessandro Panconesi
Near-Optimal, Distributed Edge Colouring via the Nibble Method. Theor. Comput. Sci. 203 (2) (1998)
Devdatt P. Dubhashi, Desh Ranjan
Balls and bins: A study in negative dependence. Random Struct. Algorithms 13 (2) (1998)
Devdatt P. Dubhashi
Talagrand's Inequality and Locality in Distributed Computing. RANDOM (1998)
Devdatt P. Dubhashi
Martingales and Locality in Distributed Computing. FSTTCS (1998)
Shiva Chaudhuri, Devdatt P. Dubhashi
Probabilistic Recurrence Relations Revisited. Theor. Comput. Sci. 181 (1) (1997)
Devdatt P. Dubhashi
Simple proofs of occupancy tail bounds. Random Struct. Algorithms 11 (2) (1997)
Dany Breslauer, Artur Czumaj, Devdatt P. Dubhashi, Friedhelm Meyer auf der Heide
Transforming Comparison Model Lower Bounds to the Parallel-Random-Access-Machine. Inf. Process. Lett. 62 (2) (1997)
Devdatt P. Dubhashi, Grammati E. Pantziou, Paul G. Spirakis, Christos D. Zaroliagis
The Fourth Moment in Luby's Distribution. Theor. Comput. Sci. 148 (1) (1995)
Shiva Chaudhuri, Devdatt P. Dubhashi
(Probabilistic) Recurrence Realtions Revisited. LATIN (1995)
Devdatt P. Dubhashi, Alessandro Panconesi
Near-Optimal Distributed Edge Coloring. ESA (1995)
Gianfranco Bilardi, Shiva Chaudhuri, Devdatt P. Dubhashi, Kurt Mehlhorn
A Lower Bound for Area-Universal Graphs. Inf. Process. Lett. 51 (2) (1994)
Devdatt P. Dubhashi
Quantifier Elimination in p-adic Fields. Comput. J. 36 (5) (1993)
Devdatt P. Dubhashi, Kurt Mehlhorn, Desh Ranjan, Christian Thiel
Searching, Sorting and Randomised Algorithms for Central Elements and Ideal Counting in Posets. FSTTCS (1993)
Devdatt P. Dubhashi
On Decidable Varieties of Heyting Algebras. J. Symb. Log. 57 (3) (1992)