My main research interests are in sequential decision making under uncertainty. In particular, I focus on the question of how to design robust decision-making systems. This requires a combination of ideas from different topics such as bandits, Bayesian optimization, reinforcement learning, experimental design, robust optimization.
I received my PhD degree from Ecole Polytechnique Federale de Lausanne (EPFL) where I was supervised by Prof. Volkan Cevher. I have also completed research internships at MIT (in the group of Prof. Stefanie Jegelka) and Twitter.
PhD in Computer and Communication Sciences
MSc in Computer Science
BSc in Electrical Engineering
University of Novi Sad
[Mar. 8, 2020] New paper “Corruption-Tolerant Gaussian Process Bandit Optimization” is now available on arXiv.
[Mar. 4, 2020] New paper “Mixed Strategies for Robust Optimization of Unknown Objectives” is now available on arXiv.
[Mar. 3, 2020] New paper “Distributionally Robust Bayesian Optimization” is now available on arXiv.
[Jan. 6, 2019] Three papers got accepted to AISTATS 2020.
[Dec. 20, 2019] I have been awarded the ETH Postdoctoral Fellowship (ETH Fellows) for our project: “Robust Sample-Efficient Learning when Data is Costly”.
[Dec. 8-14, 2019] I am attending NeurIPS 2019, Vancouver.
[Nov. 14, 2019] I gave a talk on “Robust Sample-Efficient Learning in Uncertain Environments” at IfA (The Automatic Control Laboratory) at ETH Zurich.
[Oct. 04, 2019] I gave a nominated talk on “Robust No-regret Learning in Uncertain and Adversarial Environments” at Cornell ORIE Young Researchers Workshop.
[Sept. 04, 2019] Our paper “No-Regret Learning in Unknown Games with Correlated Payoffs” got accepted to NeurIPS 2019.
[Sept. 03, 2019] I am attending DALI2019, San Sebastian.
[Apr. 01, 2019] I joined the Learning & Adaptive Systems group (ETHZ).