Presentations (Upcoming and Past)

Talks

• 25 Nov 2024: Rice CMOR Department Colloquium, Computational Applied Mathematics & Operations Research Department, Rice University.
  

• 21 Nov 2024: Princeton Optimization Seminar , Operations Research & Financial Engineering Department, Princeton University.
  

• 12 Nov 2024: CSE DSI Machine Learning Seminar Series , University of Minnesota.
  

• 30 Oct 2024: SILO Seminar, University of Wisconsin-Madison.
  

• 21-26 Jul 2024: 25th International Symposium on Mathematical Programming, Montreal, Canada.
  

• 18 June 2024: Vector Institute, Weekly Seminar, Toronto, Canada.
  

• 07 May 2024: Computational Optimisation Seminar , Imperial College London, London, UK.
  

• 22-24 Mar 2024: INFORMS Optimization Society (IOS) Conference, Rice University, Houston, TX, USA.
  

• 10-16 Dec 2023: NeurIPS 2023, New Orleans, USA.
  

• 20 October 2023: Continous Optimization Seminar, Combinatorics and Optimization Department, University of Waterloo, Canada.
  

• 29 August 2023: JHU ECE Seminar, Baltimore, Maryland, USA.
  

• 10-14 July 2023: 14th International conference on Sampling Theory and Applications (SampTA 2023), Yale University, Connecticut, USA.
  

• 31 May-03 Jun 2023: SIAM Conference on Optimization (OP23), Seattle, Washington, USA.
  

• 01-05 May 2023: ICLR 2023, Kigali, Rwanda.
  

• 25-27 April 2023: AISTATS 2023, València, Spain.
  

• 22-24 Mar 2023: 57th Annual Conference on Information Science and Systems (CISS 2023), Johns Hopkins University, Baltimore, USA.
  

• 22-24 Feb 2023: Coordinated Science Laboratory Student Conference (CSLSC), The University of Illinois at Urbana-Champaign, USA . Keynote Speaker
  

• 28 Nov-03 Dec 2022: NeurIPS 2022, New Orleans, USA.
  

• 25-28 July 2022: International Conference on Continuous Optimization (ICCOPT) 2022 , Lehigh University, Bethlehem, Pennsylvania.
  

• 08 Mar 2022: MINDS seminar, Johns Hopkins University, Baltimore, US.
  

• 06-14 Dec 2021: NeurIPS 2021, virtual.
  

• 24-27 Oct 2021: INFORMS annual meeting, virtual. (invited)
  

• 19 Aug 2021: KAUST research seminar, virtual. (invited)
  

• 20-23 Jul 2021: Siam Conference On Optimization, virtual. (invited)
  

• 07-09 Jul 2021: 18th International Workshop on Continuous Optimization virtual. (invited)
  

• 28 Apr 2021: Computer Science department, Rice University. , virtual. (invited)
  

• 13-15 Apr 2021: 24th International Conference on Artificial Intelligence and Statistics (AISTATS) , virtual.
  

• 23 Feb 2021: University of British Columbia (Okanagan campus) , virtual. (invited)
  

• 16 Feb 2021: ECE Rising Star Seminar Series, University of Wisconsin-Madison , virtual. (invited)
  

• 28 Jan 2021: MINDS 2021 Winter Symposium, Johns Hopkins University , virtual. (invited)
  

• 11 Dec 2020: Optimization for Machine Learning Workshop, NeurIPS , virtual. (Spotlight Talk)
  

• 02 Dec 2020: Montreal Machine Learning and Optimization (MTL MLOpt) Seminar, virtual. (invited)
  

• 30 Nov 2020: Smooth Games Reading Group, EPFL, Switzerland virtual. (invited)
  

• 07-13 Nov 2020: INFORMS annual meeting , virtual. (invited)
  

• 12-18 Jul 2020: 37th International Conference on Machine Learning (ICML) , virtual.
  

• 06-09 Jul 2020: SIAM Conference on Imaging Science , virtual. (invited)
  

• 26-29 May 2020: SIAM Conference on Optimization , The Hong Kong Polytechnic University, Hong Kong.
  

• 18-20 Mar 2020: 54th Annual Conference on Information Sciences and Systems (CISS) , Princeton University, USA. (invited)
  

• 3-8 Aug 2019: ICCOPT 2019 (International Conference on Continuous Optimization) , Berlin, Germany. (invited)
  

• 10-15 Jun 2019: 36th International Conference on Machine Learning , Long Beach Convention Center, Long Beach, USA.
  

• 16 May 2019: IEEE International Conference on Acoustics, Speech and Signal Processing , Brighton, UK.
  title: ''Provably Accelerated Gossip Algorithms"

• 16 Nov 2018: MILA Tea Talks , University of Montreal, Montreal, Canada,
  title: ''Stochastic Heavy Ball Method, Average Consensus and Distributed Deep Learning"

• 13 Nov 2018: Mathematics in Machine Learning Seminars , McGill University, Montreal, Canada,
  title: ''Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods"

• 13-17 Aug 2018: DIMACS/TRIPODS/MOPTA , Lehigh University,Bethlehem, PA, USA
  title: ''Revisiting the Foundations of Randomized Gossip Algorithms"

• 1-6 Jul 2018: 23rd International Symposium on Mathematical Programming , Bordeaux, France (invited)
  title: ''Convergence Analysis of Inexact Randomized Iterative Methods"

• 11 Apr 2018: OptML group Seminar , Lehigh University,Bethlehem, PA, USA
  title: ''Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods"

• 5 Feb 2018: KAUST Research Workshop on Optimization and Big Data , KAUST, Saudi Arabia
  title: ''Linearly convergent stochastic heavy ball method for minimizing generalization error"

• 5 Oct 2017: RiseLab seminar, Department of Computer Science, UC Berkeley, California, USA
  title: ''Stochastic and Doubly Stochastic Dual Heavy Ball Methods for Quadratic Optimization with Low-Rank Hessian"

• 30 May-1 Jun 2017: 14th International Conference on Computational Management Science , Bergamo, Italy (invited)
  title: "Distributionally Robust Games with Risk Averse Players"

• 22-25 May 2017: SIAM Conference on Optimization , Vancouver, British Columbia, Canada (invited)
  title: ''Stochastic Heavy Ball Method for Solving Linear Systems"

• 9 Dec 2016: IEEE Global Conference on Signal and Information Processing (GlobalSIP) , Washington D.C, USA
  title: ''A new Perspective on Randomized Gossip Algorithms"

• 7 Sept 2016: 5th IMA Conference on Numerical Linear Algebra and Optimisation, Birmingham, UK, (organizer of 2 mini-symposia)
  title:''Randomized Gossip Algorithms: Complexity, Duality and New Variants"

• 23 Feb 2016:
  5th International Conference on Operational Research and Enterprise Systems (ICORES), Rome, Italy
  title: "Distributionally Robust Games with Risk Averse Players"

Posters

• 08 Dec 2017, NIPS Workshop on Optimization for Machine Learning 2017 , Los Angeles, USA
  poster: ''Linearly convergent stochastic heavy ball method for minimizing generalization error"

• 12 Apr 2017, KAUST Research Conference 2017: Visual Computing-Modeling and Reconstruction , KAUST, Saudi Arabia
  poster: ''A New Perspective on Randomized Gossip Algorithm"

• 12 Jan 2017, SIAM UKIE Annual Meeting 2017 , Glasgow, UK
  poster: ''Randomized Gossip Algorithms: Complexity, Duality and New Variants"

• 12 Oct 2016, Data Science Research Day 2016 , Edinburgh, UK
  poster: ''Randomized Gossip Algorithms: Complexity, Duality and New Variants"

• 26 May 2016, 3DT and Friends Student Conference, Edinburgh, UK
  poster: ''Randomized Gossip Algorithms: New Insights"

• 16 May 2016, Machine Learning Summer School (MLSS), Cadiz, Spain
  poster: ''Randomized Gossip Algorithms: New Insights"