Devdatt P. Dubhashi

101 papers A* 11A 7B 10C 1Misc 1Journal 48Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating the relationship between regularity and learnability in recursive numeral systems using Reinforcement Learning. CoRR Andrea Silvi, Ponrawee Prasertsom, Jennifer Culbertson, Devdatt P. Dubhashi, Moa Johansson, Kenny Smith
2026	J	`jnl`	Learning Contextual Runtime Monitors for Safe AI-Based Autonomy. CoRR Alejandro Luque-Cerpa, Mengyuan Wang, Emil Carlsson, Sanjit A. Seshia, Devdatt P. Dubhashi, Hazem Torfah
2026	—	`conf`	Recursive numeral systems are highly regular and easy to process. EACL (Volume 1: Long Papers) Ponrawee Prasertsom, Andrea Silvi, Jennifer Culbertson, Devdatt P. Dubhashi, Moa Johansson, Kenny Smith
2025	B	`conf`	Learning Efficient Recursive Numeral Systems via Reinforcement Learning. CogSci Andrea Silvi, Jonathan D. Thomas, Emil Carlsson, Devdatt P. Dubhashi, Moa Johansson
2025	B	`conf`	PACE: Procedural Abstractions for Communicating Efficiently. CogSci Jonathan D. Thomas, Andrea Silvi, Devdatt P. Dubhashi, Moa Johansson
2025	J	`jnl`	Recursive numeral systems are highly regular and easy to process. CoRR Ponrawee Prasertsom, Andrea Silvi, Jennifer Culbertson, Moa Johansson, Devdatt P. Dubhashi, Kenny Smith
2025	J	`jnl`	Variational Quantum Optimization with Continuous Bandits. CoRR Marc Wanner, Johan Jonasson, Emil Carlsson, Devdatt P. Dubhashi
2024	J	`jnl`	ACE: Abstractions for Communicating Efficiently. CoRR Jonathan D. Thomas, Andrea Silvi, Devdatt P. Dubhashi, Vikas Garg, Moa Johansson
2024	J	`jnl`	Active Preference Learning for Ordering Items In- and Out-of-sample. CoRR Herman Bergström, Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
2024	A*	`conf`	Active preference learning for ordering items in- and out-of-sample. NeurIPS Herman Bergström, Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
2024	J	`jnl`	Learning Efficient Recursive Numeral Systems via Reinforcement Learning. CoRR Jonathan D. Thomas, Andrea Silvi, Devdatt P. Dubhashi, Emil Carlsson, Moa Johansson
2024	A*	`conf`	Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms. NeurIPS Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Alexandru Gheorghiu
2024	J	`jnl`	Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms. CoRR Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Alexandru Gheorghiu
2024	A	`conf`	Pure Exploration in Bandits with Linear Constraints. AISTATS Emil Carlsson, Debabrota Basu, Fredrik D. Johansson, Devdatt P. Dubhashi
2024	—	`conf`	Verification and Learning for Assured Autonomy. AISoLA Raúl Pardo, Devdatt P. Dubhashi, Gerardo Schneider, Hazem Torfah
2023	J	`jnl`	Do Kernel and Neural Embeddings Help in Training and Generalization? Neural Process. Lett. Arman Rahbar, Emilio Jorge, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
2023	B	`conf`	Iterated learning and communication jointly explain efficient color naming systems. CogSci Emil Carlsson, Devdatt P. Dubhashi, Terry Regier
2023	J	`jnl`	Iterated learning and communication jointly explain efficient color naming systems. CoRR Emil Carlsson, Devdatt P. Dubhashi, Terry Regier
2023	J	`jnl`	Pragmatic Reasoning in Structured Signaling Games. CoRR Emil Carlsson, Devdatt P. Dubhashi
2023	J	`jnl`	Pure Exploration in Bandits with Linear Constraints. CoRR Emil Carlsson, Debabrota Basu, Fredrik D. Johansson, Devdatt P. Dubhashi
2023	A	`conf`	Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves. AISTATS David Bosch, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhashi
2023	A*	`conf`	Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework. ICML Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi, Hamid Krim
2022	A	`conf`	Analysis of Knowledge Transfer in Kernel Regime. CIKM Ashkan Panahi, Arman Rahbar, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
2022	J	`jnl`	Can universities combat the 'wrong kind of AI'? Commun. ACM Devdatt P. Dubhashi
2022	J	`jnl`	Double Descent in Random Feature Models: Precise Asymptotic Analysis for General Convex Regularization. CoRR David Bosch, Ashkan Panahi, Ayça Özçelikkale, Devdatt P. Dubhashi
2022	B	`conf`	Pragmatic Reasoning in Structured Signaling Games. CogSci Emil Carlsson, Devdatt P. Dubhashi
2022	J	`jnl`	Using satellites and artificial intelligence to measure health and material-living standards in India. CoRR Adel Daoud, Felipe Jordan, Makkunda Sharma, Fredrik D. Johansson, Devdatt P. Dubhashi, Sourabh Bikash Paul, Subhashis Banerjee
2021	J	`jnl`	AI futures: fact and fantasy. Commun. ACM Devdatt P. Dubhashi
2021	B	`conf`	Learning Approximate and Exact Numeral Systems via Reinforcement Learning. CogSci Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
2021	J	`jnl`	Learning Approximate and Exact Numeral Systems via Reinforcement Learning. CoRR Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
2021	A*	`conf`	Thompson Sampling for Bandits with Clustered Arms. IJCAI Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
2021	J	`jnl`	Thompson Sampling for Bandits with Clustered Arms. CoRR Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
2020	J	`jnl`	Accelerated proximal incremental algorithm schemes for non-strongly convex functions. Theor. Comput. Sci. Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
2020	A	`conf`	LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. DATE 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, Kevin Mika, A. Hüffmeier, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber
2020	J	`jnl`	Models for COVID-19 Pandemic: A Comparative Analysis. CoRR Aniruddha Adiga, Devdatt P. Dubhashi, Bryan L. Lewis, Madhav V. Marathe, Srinivasan Venkatramanan, Anil Vullikanti
2020	J	`jnl`	On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime. CoRR Arman Rahbar, Ashkan Panahi, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Morteza Haghir Chehreghani
2020	J	`jnl`	Statistical modeling: the three cultures. CoRR Adel Daoud, Devdatt P. Dubhashi
2019	A*	`conf`	A Non-Convex Optimization Approach to Correlation Clustering. AAAI Erik Thiel, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
2019	J	`jnl`	Bayesian optimization in ab initio nuclear physics. CoRR Andreas Ekström, Christian Forssén, Christos Dimitrakakis, Devdatt P. Dubhashi, Håkan T. Johansson, Azam Sheikh Muhammad, Hans Salomonsson, Alexander Schliep
2019	J	`jnl`	LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing. CoRR 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, Daniel Ödman, Hans Salomonsson, Devdatt P. Dubhashi, Oron Port, Yoav Etsion, Do Le Quoc, Christof Fetzer, Martin Kaiser, Nils Kucza, Jens Hagemeyer, René Griessl, Lennart Tigges, Kevin Mika, A. Hüffmeier, Th. Jungeblu, Marcelo Pasin, Valerio Schiavoni, Isabelly Rocha, Christian Göttel, Pascal Felber
2019	J	`jnl`	Spectral Analysis of Kernel and Neural Embeddings: Optimization and Generalization. CoRR Emilio Jorge, Morteza Haghir Chehreghani, Devdatt P. Dubhashi
2019	J	`jnl`	Stochastic Incremental Algorithms for Optimal Transport with SON Regularizer. CoRR Ashkan Panahi, Erik Thiel, Morteza Haghir Cheraghani, Devdatt P. Dubhashi
2018	B	`conf`	DeepColor: Reinforcement Learning optimizes information efficiency and well-formedness in color name partitioning. CogSci Mikael Kågebäck, Devdatt P. Dubhashi, Asad B. Sayeed
2018	—	`ch.`	Distributed Approximation Algorithms via LP-Duality and Randomization. Handbook of Approximation Algorithms and Metaheuristics (1) Devdatt P. Dubhashi, Fabrizio Grandoni, Alessandro Panconesi
2018	—	`conf`	LEGaTO: first steps towards energy-efficient toolset for heterogeneous computing. SAMOS 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
2018	—	`conf`	LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing. CF 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
2017	J	`jnl`	AI dangers: imagined and real. Commun. ACM Devdatt P. Dubhashi, Shalom Lappin
2017	A*	`conf`	Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. ICML Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya
2017	J	`jnl`	GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference. CoRR Vinay Jethava, Devdatt P. Dubhashi
2017	J	`jnl`	Thompson Sampling For Stochastic Bandits with Graph Feedback. CoRR Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi
2017	A*	`conf`	Thompson Sampling for Stochastic Bandits with Graph Feedback. AAAI Aristide C. Y. Tossou, Christos Dimitrakakis, Devdatt P. Dubhashi
2016	—	`ch.`	Distributed Vertex Coloring. Encyclopedia of Algorithms Devdatt P. Dubhashi
2015	B	`conf`	Classifying Large Graphs with Differential Privacy. MDAI Fredrik D. Johansson, Otto Frost, Carl Retzner, Devdatt P. Dubhashi
2015	Misc	`conf`	Extractive Summarization by Aggregating Multiple Similarities. RANLP Olof Mogren, Mikael Kågebäck, Devdatt P. Dubhashi
2015	A*	`conf`	Learning with Similarity Functions on Graphs using Matchings of Geometric Embeddings. KDD Fredrik D. Johansson, Devdatt P. Dubhashi
2015	—	`conf`	Neural context embeddings for automatic discovery of word senses. VS@HLT-NAACL Mikael Kågebäck, Fredrik D. Johansson, Richard Johansson, Devdatt P. Dubhashi
2015	J	`jnl`	Visions and open challenges for a knowledge-based culturomics. Int. J. Digit. Libr. 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
2015	—	`conf`	Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization. NIPS Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
2014	—	`conf`	Extractive Summarization using Continuous Vector Space Models. CVSC@EACL Mikael Kågebäck, Olof Mogren, Nina Tahmasebi, Devdatt P. Dubhashi
2014	—	`conf`	Federated clouds for biomedical research: Integrating OpenStack for ICTBioMed. CloudNet 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
2014	A*	`conf`	Global graph kernels using geometric embeddings. ICML Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, Chiranjib Bhattacharyya
2013	—	`conf`	DLOREAN: Dynamic Location-Aware Reconstruction of Multiway Networks. ICDM Workshops Fredrik Johansson, Vinay Jethava, Devdatt P. Dubhashi
2013	A	`conf`	Entity disambiguation in anonymized graphs using graph kernels. CIKM Linus Hermansson, Tommi Kerola, Fredrik Johansson, Vinay Jethava, Devdatt P. Dubhashi
2013	B	`conf`	Lovasz ϑ, SVMs and applications. ITW Vinay Jethava, Jacob Sznajdman, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
2013	J	`jnl`	Lovász ϑ function, SVMs and finding dense subgraphs. J. Mach. Learn. Res. Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
2013	—	`conf`	Mining semantics for culturomics: towards a knowledge-based approach. UnstructureNLP@CIKM Lars Borin, Devdatt P. Dubhashi, Markus Forsberg, Richard Johansson, Dimitrios Kokkinakis, Pierre Nugues
2012	—	`conf`	"The Lovasz $\theta$ function, SVMs and finding large dense subgraphs". NIPS Vinay Jethava, Anders Martinsson, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
2011	—	`ed.`	Contemporary Computing - 4th International Conference, IC3 2011, Noida, India, August 8-10, 2011. Proceedings IC3 Srinivas Aluru, Sanghamitra Bandyopadhyay, Ümit V. Çatalyürek, Devdatt P. Dubhashi, Phillip H. Jones, Manish Parashar, Bertil Schmidt
2011	J	`jnl`	NETGEM: Network Embedded Temporal GEnerative Model for gene expression data. BMC Bioinform. Vinay Jethava, Chiranjib Bhattacharyya, Devdatt P. Dubhashi, Goutham N. Vemuri
2011	A*	`conf`	Scalable multi-dimensional user intent identification using tree structured distributions. SIGIR Vinay Jethava, Liliana Calderón-Benavides, Ricardo Baeza-Yates, Chiranjib Bhattacharyya, Devdatt P. Dubhashi
2009	—	`book`	Concentration of Measure for the Analysis of Randomized Algorithms. Devdatt P. Dubhashi, Alessandro Panconesi
2008	J	`jnl`	Adaptive Dynamics of Realistic Small-World Networks CoRR Olof Mogren, Oskar Sandberg, Vilhelm Verendel, Devdatt P. Dubhashi
2008	—	`ch.`	Distributed Vertex Coloring. Encyclopedia of Algorithms Devdatt P. Dubhashi
2007	J	`jnl`	Blue pleiades, a new solution for device discovery and scatternet formation in multi-hop Bluetooth networks. Wirel. Networks Devdatt P. Dubhashi, Olle Häggström, Gabriele Mambrini, Alessandro Panconesi, Chiara Petrioli
2007	—	`ch.`	Distributed Approximation Algorithms via LP-Duality and Randomization. Handbook of Approximation Algorithms and Metaheuristics Alessandro Panconesi, Fabrizio Grandoni, Devdatt P. Dubhashi
2007	J	`jnl`	Localized Techniques for Broadcasting in Wireless Sensor Networks. Algorithmica Devdatt P. Dubhashi, Olle Häggström, Lorenzo Orecchia, Alessandro Panconesi, Chiara Petrioli, Andrea Vitaletti
2007	J	`jnl`	Positive Influence and Negative Dependence. Comb. Probab. Comput. Devdatt P. Dubhashi, Johan Jonasson, Desh Ranjan
2007	J	`jnl`	Probabilistic analysis for a multiple depot vehicle routing problem. Random Struct. Algorithms Andreas Baltz, Devdatt P. Dubhashi, Anand Srivastav, Libertad Tansini, Sören Werth
2006	J	`jnl`	Bayesian classifiers for detecting HGT using fixed and variable order markov models of genomic signatures. Bioinform. Daniel Dalevi, Devdatt P. Dubhashi, Malte Hermansson
2006	A	`conf`	Randomization in Constraint Programming for Airline Planning. CP Lars Otten, Mattias Grönkvist, Devdatt P. Dubhashi
2005	J	`jnl`	Fast distributed algorithms for (weakly) connected dominating sets and linear-size skeletons. J. Comput. Syst. Sci. Devdatt P. Dubhashi, Alessandro Mei, Alessandro Panconesi, Jaikumar Radhakrishnan, Aravind Srinivasan
2005	B	`conf`	Irrigating ad hoc networks in constant time. SPAA Devdatt P. Dubhashi, C. Johansson, Olle Häggström, Alessandro Panconesi, Mauro Sozio
2005	—	`conf`	Probabilistic Analysis for a Multiple Depot Vehicle Routing Problem. FSTTCS Andreas Baltz, Devdatt P. Dubhashi, Libertad Tansini, Anand Srivastav, Sören Werth
2005	C	`conf`	The Peres-Shields Order Estimator for Fixed and Variable Length Markov Models with Applications to DNA Sequence Similarity. WABI Daniel Dalevi, Devdatt P. Dubhashi
2003	—	`conf`	Analysis and Experimental Evaluation of a Simple Algorithm for Collaborative Filtering in Planted Partition Models: Extended Abstract. FSTTCS Devdatt P. Dubhashi, Luigi Laura, Alessandro Panconesi
2003	A*	`conf`	Fast distributed algorithms for (weakly) connected dominating sets and linear-size skeletons. SODA Devdatt P. Dubhashi, Alessandro Mei, Alessandro Panconesi, Jaikumar Radhakrishnan, Aravind Srinivasan
1998	J	`jnl`	Balls and bins: A study in negative dependence. Random Struct. Algorithms Devdatt P. Dubhashi, Desh Ranjan
1998	—	`conf`	Martingales and Locality in Distributed Computing. FSTTCS Devdatt P. Dubhashi
1998	J	`jnl`	Near-Optimal, Distributed Edge Colouring via the Nibble Method. Theor. Comput. Sci. Devdatt P. Dubhashi, David A. Grable, Alessandro Panconesi
1998	—	`conf`	Talagrand's Inequality and Locality in Distributed Computing. RANDOM Devdatt P. Dubhashi
1997	J	`jnl`	Probabilistic Recurrence Relations Revisited. Theor. Comput. Sci. Shiva Chaudhuri, Devdatt P. Dubhashi
1997	J	`jnl`	Simple proofs of occupancy tail bounds. Random Struct. Algorithms Devdatt P. Dubhashi
1997	J	`jnl`	Transforming Comparison Model Lower Bounds to the Parallel-Random-Access-Machine. Inf. Process. Lett. Dany Breslauer, Artur Czumaj, Devdatt P. Dubhashi, Friedhelm Meyer auf der Heide
1995	B	`conf`	(Probabilistic) Recurrence Realtions Revisited. LATIN Shiva Chaudhuri, Devdatt P. Dubhashi
1995	A	`conf`	Near-Optimal Distributed Edge Coloring. ESA Devdatt P. Dubhashi, Alessandro Panconesi
1995	J	`jnl`	The Fourth Moment in Luby's Distribution. Theor. Comput. Sci. Devdatt P. Dubhashi, Grammati E. Pantziou, Paul G. Spirakis, Christos D. Zaroliagis
1994	J	`jnl`	A Lower Bound for Area-Universal Graphs. Inf. Process. Lett. Gianfranco Bilardi, Shiva Chaudhuri, Devdatt P. Dubhashi, Kurt Mehlhorn
1993	J	`jnl`	Quantifier Elimination in p-adic Fields. Comput. J. Devdatt P. Dubhashi
1993	—	`conf`	Searching, Sorting and Randomised Algorithms for Central Elements and Ideal Counting in Posets. FSTTCS Devdatt P. Dubhashi, Kurt Mehlhorn, Desh Ranjan, Christian Thiel
1992	—	`—`	Algorithmic Investigations In P-adic Fields. Devdatt P. Dubhashi
1992	J	`jnl`	On Decidable Varieties of Heyting Algebras. J. Symb. Log. Devdatt P. Dubhashi