Tristan Pollner
I am a fifth-year Ph.D. student at Stanford University, fortunate to be advised by Amin Saberi. My research is on data-driven optimization in uncertain, changing environments, with applications ranging from organ allocation to ride-hailing to online advertisement.
Papers
Improved Approximations for Stationary Bipartite Matching: Beyond Probabilistic Independence (submitted)
Ali Aouad, Alireza Amanihamedani, Tristan Pollner, Amin Saberi
New Philosopher Inequalities for Online Bayesian Matching, via Pivotal Sampling (SODA 2025)
Mark Braverman, Mahsa Derakhshan, Tristan Pollner, Amin Saberi, David Wajc
A Bicriterion Concentration Inequality and Prophet Inequalities for k-Fold Matroid Unions (ITCS 2025)
Noga Alon, Nick Gravin, Tristan Pollner, Aviad Rubinstein, S. Matthew Weinberg, Hongao Wang, Qianfan Zhang
Approximating Optimum Online for Capacitated Resource Allocation (EC 2024)
Alexander Braun, Thomas Kesselheim, Tristan Pollner, Amin Saberi
Online stochastic max-weight bipartite matching: Beyond prophet inequalities (Math of OR 2023, EC 2021)
Christos Papadimitriou, Tristan Pollner, Amin Saberi, David Wajc
Improved online contention resolution for matchings and applications to the gig economy (Math of OR 2023, EC 2022)
Tristan Pollner, Mohammad Roghani, Amin Saberi, David Wajc
Optimal item pricing in online combinatorial auctions (IPCO 2022)
José Correa, Andrés Cristi, Andrés Fielbaum, Tristan Pollner, S. Matthew Weinberg
Decentralized Matching in a Probabilistic Environment (EC 2021)
Mobin Y Jeloudar, Irene Lo, Tristan Pollner, Amin Saberi
New query lower bounds for submodular function minimization (ITCS 2020)
Andrei Graur, Vidhya Ramaswamy, Tristan Pollner, S. Matthew Weinberg
Teaching
MS&E 232: Introduction to Game Theory
MS&E 319: Matching Theory
MS&E 212: Mathematical Programming and Combinatorial Optimization
Student Testimonials
"Very clear explanations. Extremely patient. Genuinely wants students to succeed."
"Eagerness to help and answer questions regardless of how basic they were (very patient!); detailed feedback on homework; very knowledgeable about class material; did a great job when teaching class - great engagement with class throughout and facility with presenting class topics"
"He did a wonderful job explaining abstract concepts, engaging with students, and building upon Amin's teaching. I appreciate his trying to identify aspects of concepts that may be the most difficult to understand for students are who seeing the material for the first time...Tristan's office hours are also extremely helpful and productive. He is able to respond very quickly to students' ideas on homework problems and lead them onto the right path. Tristan's ability to think on the spot is phenomenal...these sessions did wonders in solidifying my understanding of class materials"