Presentation
Global Optimality for Nonconvex Optimization in Operations, and Causality.
Summary of SGD and Biased Gradient Methods.
Invited guest lectures, Department of Statistics, Rutgers University, Oct 2024.
Stochastic Optimization under Hidden Convexity.
25th International Symposium on Mathematical Programming, Jul 2024.
Contextual Stochastic Bilevel Optimization.
Invited seminar at Department of Statistics, Rutgers University, Jan 2025.
Invited seminar at MSIS, Rutgers University, Oct 2024.
INFORMS Annual Meeting, Oct 2024.
Invited talk at Cornell ORIE Young Researcher Workshop, Oct 2024.
INFORMS Optimization Society Conference, Mar 2024.
INFORMS Annual Meeting, Oct 2023.
International Conference on Stochastic Programming, Jul 2023.
SIAM Conference on Optimization, Seattle, May 2023.
Global Converging Algorithms for Nonconvex Network Revenue Management via (Implicit) Hidden Convexity.
German Operation Research Conference, Sep 2024.
Invited seminar at Frankfurt School of Finance and Management, Nov 2023.
Invited seminar at University of Sydney, Nov 2023.
Swiss Operations Research Day, Jun 2023.
Invited seminar at University of Zurich, May 2023.
INFORMS Annual Meeting, Oct 2022.
Invited seminar at MIT, Sep 2022.
International Conference on Continuous Optimization, Jul 2022.
PhD Seminar, ETH Zurich, Apr 2022.
Invited seminar RAO Lab Seminar, EPFL Mar 2022.
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization.
EPFL CIS Poster NeurIPS Event, Dec 2022.
On the Bias-Variance-Cost Tradeoff of Gradient Methods for Stochastic Optimization with Biased Oracles.
NeurIPS 2021, Dec 2021.
PhD Seminar, ETH Zurich, Oct 2021.
INFORMS Annual Meeting, Oct 2021.
Biased First-Order Methods for Conditional Stochastic Optimization.
NeurIPS 2020, Dec 2020.
INFORMS Annual Meeting, Oct 2020.
CSL Student Conference, Feb 2020.
Conference Posters
Contextual Stochastic Bilevel Optimization.
Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes.