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Poster Session 1 (gather.town)
Laurent Condat · Tiffany Vlaar · Ohad Shamir · Mohammadi Zaki · Zhize Li · Guan-Horng Liu · Samuel Horváth · Mher Safaryan · Yoni Choukroun · Kumar Shridhar · Nabil Kahale · Jikai Jin · Pratik Kumar Jawanpuria · Gaurav Kumar Yadav · Kazuki Koyama · Junyoung Kim · Xiao Li · Saugata Purkayastha · Adil Salim · Dighanchal Banerjee · Peter Richtarik · Lakshman Mahto · Tian Ye · Bamdev Mishra · Huikang Liu · Jiajie Zhu

Fri Dec 11 06:00 AM -- 06:50 AM (PST) @
in OPT2020: Optimization for Machine Learning »
Event URL: https://neurips.gather.town/app/YuI0sg9tIRcx6IeY/OPT+ML%20Lounge »

Please join us in gather.town for all breaks and poster sessions. Click on "Open Link" to join gather.town.

Author Information

Laurent Condat (KAUST)
Tiffany Vlaar (University of Edinburgh)
Ohad Shamir (Weizmann Institute of Science)
Mohammadi Zaki (Indian Institute of Science Bangalore)
Zhize Li (King Abdullah University of Science and Technology (KAUST))

Zhize Li is a Research Scientist at the King Abdullah University of Science and Technology (KAUST) since September 2020. He obtained his PhD degree in Computer Science from Tsinghua University in 2019 (Advisor: Prof. Jian Li). He was a postdoc at KAUST (Hosted by Prof. Peter Richtárik), a visiting scholar at Duke University (Hosted by Prof. Rong Ge), and a visiting scholar at Georgia Institute of Technology (Hosted by Prof. Guanghui (George) Lan).

Guan-Horng Liu (Georgia Institute of Technology)
Samuel Horváth (King Abdullah University of Science and Technology)
Mher Safaryan (KAUST)
Yoni Choukroun (Toga networks)
Kumar Shridhar (TU Kaiserslautern)
Nabil Kahale (ESCP Business School)

Nabil Kahalé is an associate professor at ESCP Business School in Paris. He graduated from Ecole Polytechnique with a B.S. in Engineering in 1987 and received his Ph.D. in theoretical Computer Science from MIT in 1993. Nabil Kahalé’s current research and teaching address risk management, the pricing of derivative securities, Monte Carlo simulation, and machine learning.

Jikai Jin (Peking University)
Pratik Kumar Jawanpuria (Microsoft)
Gaurav Kumar Yadav (Indian Institute of Technology, Madras)

Gaurav Kumar is a research scholar in the department of mechanical engineering at IIT Madras. He is currently working on the applications of Machine learning in the solution of Fluid-flow and heat transfer problem, under the guidance of Dr. Balaji Srinivasan.

Kazuki Koyama (NTT Communications Corp.)
Junyoung Kim (Department of Industrial Engineering, Seoul National University)
Xiao Li (The Chinese University of Hong Kong, Shenzhen)
Saugata Purkayastha (Assam Don Bosco University)

I completed my Ph.D. in Mathematics from Gauhati University in 2015. Presently I am working as an Assistant Professor in the department of Mathematics, Assam Don Bosco University, Assam, India. My main research interests are Algebraic structures, optimization theory in Machine Learning.

Adil Salim (KAUST)
Dighanchal Banerjee (Tata Consultancy Services)
Peter Richtarik (KAUST)
Lakshman Mahto (Indian Institute of Information Technology Dharwad)

I am working as an Assistant Professor (Mathematics) at Indian Institute of Information Technology Dharwad since August, 2016. My current research interests lie in the interface of optimization, statistical learning, and control with understanding and development of efficient optimization algorithms for machine intelligence, system dynamics and control. This often requires conceptual, innovations, and technical (for scientific inference and transforming a large amount of data-sets into useful information with better decisions in the face of uncertainty) breakthroughs along three different dimensions: 1. Optimization of convex and non-convex problems 2. Scalable algorithms that leverage a statistical model to improve its decision making and learning. 3. Data-driven control and optimization of dynamical processes

Tian Ye (Tsinghua University)
Bamdev Mishra (Microsoft)
Huikang Liu (Imperial College London)
Jiajie Zhu (Max Planck Institute for Intelligent Systems)

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