Devdatt Dubhashi

Department of Computer Science and Engineering
Chalmers University of Technology
Email: dubhashi (at)

My main interests are in machine learning, the design and analysis of randomized algorithms, and computational biology.

Recent Program Committees

  • IJCAI-ECAI 2018.
  • SWAT Scandinavian Symposium and Workshops on Algorithm Theory (SWAT), 2018.
  • SEFAIAS 2018, First Workshop on Software Engineering for AI in Autonomous Systems co-located with ICSE 2018.
  • AAAI 2016, 2017.

Recent Publications

  • D. Dubhashi and S. Lappin, “AI dangers: imagined and real”,  Commun. ACM 60(2): 43-45 (2017)
  • A. Tossou, C. Dimitrakakis and D. Dubhashi, “Thompson Sampling for Stochastic Bandits with Graph Feedback”. AAAI 2017: 2660-2666.
  • A. Panahi, F. Johansson, D. Dubhashi and C. Bhattacharyya, “Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery”. ICML 2017: 2769-2777
  • V. Jethava and D. Dubhashi, “GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference”. CoRRabs/1711.11139 (2017)
  • F. Johansson and D. Dubhashi, “Learning with Similarity Functions on Graphs using Matchings of Geometric Embeddings”.KDD 2015: 467-476
  • F. Johansson, A. Chattorai, D. Dubhashi and C. Bhattacharyya, “Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization”,  NIPS 2015: 1018-1026
  • F. Johansson, V. Jethava, D. Dubhashi and C. Bhattacharyya, “Global graph kernels using geometric embeddings”. ICML 2014: 694-702
  • V. Jethava, A. Martinsson, C. Bhattacharyya and D. Dubhashi, “Lovász ϑ function, SVMs and finding dense subgraphs”. Journal of Machine Learning Research 14(1): 3495-3536 (2013)
  • V. Jethava, A. Martinsson, C. Bhattacharyya and D. Dubhashi,”The Lovasz $\theta$ function, SVMs and finding large dense subgraphs”. NIPS 2012: 1169-1177.