[January 23, 2021] Our paper “Stochastic Linear Bandits Robust to Adversarial Attacks” got accepted to AISTATS 2021.

[October 22, 2020] Honored to receive a high-scoring reviewer award from NeurIPS2020.

[October 17, 2020] Two papers got accepted to NeurIPS 2020: “Contextual Games: Multi-Agent Learning with Side Information” and “Learning to Play Sequential Games vs. Unknown Opponents”

[May 2, 2020] In a team with Willie Neiswanger and Yisong Yue, we are organizing Workshop on Real World Experiment Design and Active Learning @ ICML 2020. See the workshop website for Cfp and more details https://realworldml.github.io/

[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 my 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).