dr. C.A. Guzmán Paredes (Cristóbal)

Mathematics

# Congestion Control
# Convex Optimization
# Lower Bound
# Multipath Routing
# Seriation
# Stackelberg Game
# Stochastic Optimization

Engineering & Materials Science

# Convex Optimization

Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Mathematics of Operations Research (MOR)

Correa, J. , Guzmán, C., Lianeas, T., Nikolova, E., & Schröder, M. (2022). Network Pricing: How to Induce Optimal Flows Under Strategic Link Operators. Operations research, 70(1), 472-489. https://doi.org/10.1287/opre.2020.2067

Zhang, S., Yang, J. , Guzmán, C., Kiyavash, N., & He, N. (2021). The complexity of nonconvex-strongly-concave minimax optimization. In Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence (UAI 2021): UAI (Proceedings of Machine Learning Research; Vol. 161). MLResearchPress. https://proceedings.mlr.press/v161/zhang21c.html

Bassily, R. , Guzmán, C., & Nandi, A. (2021). Non-Euclidean Differentially Private Stochastic Convex Optimization. In 34th Annual Conference on Learning Theory 2021 (pp. 474-499). (Proceedings of Machine Learning Research; Vol. 134). MLResearchPress. http://proceedings.mlr.press/v134/bassily21a.html

Bassily, R. , Guzmán, C., & Menart, M. (2021). Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings. In 35th Conference on Neural Information Processing Systems (NeurIPS 2021): NeurIPS (pp. 9317--9329). (Advances in Neural Information Processing Systems; Vol. 34). Curran Associates Inc.. https://proceedings.neurips.cc/paper/2021/hash/4ddb5b8d603f88e9de689f3230234b47-Abstract.html

Guzmán, C., Mehta, N., & Mortazavi, A. (2021). Best-case lower bounds in online learning. In 35th Conference on Neural Information Processing Systems, NeurIPS 2021: NeurIPS (pp. 21923--21934). Curran Associates Inc.. https://proceedings.neurips.cc/paper/2021/hash/b7da6669894867f04b8727876a69ffc0-Abstract.html

Guzmán, C., Riffo, J., Telha, C., & van Vyve, M. (2021). A sequential Stackelberg game for dynamic inspection problems. European journal of operational research, [17623]. https://doi.org/10.1016/j.ejor.2021.12.015

Guzmán, C., Armstrong, S., & Sing-Long, C. (2021). An Optimal Algorithm for Strict Circular Seriation. SIAM Journal on Mathematics of Data Science, 3(4), 1223-1250. https://doi.org/10.1137/21M139356X

Feldman, V. , Guzmán Paredes, C. A., & Vempala, S. (2021). Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization. Mathematics of operations research, 46(3), 912-945. https://doi.org/10.1287/moor.2020.1111

Bassily, R., Feldman, V. , Guzmán Paredes, C. A., & Talwar, K. (2020). Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses. In Advances in Neural Information Processing Systems (NeurIPS) https://papers.nips.cc/paper/2020/file/2e2c4bf7ceaa4712a72dd5ee136dc9a8-Paper.pdf

Diakonikolas, J. , & Guzmán Paredes, C. A. (2019). Lower Bounds for Parallel and Randomized Convex Optimization. In Proceedings of the Thirty-Second Conference on Learning Theory (Proceedings of Machine Learning Research; Vol. 99). http://proceedings.mlr.press/v99/diakonikolas19c.html

Naar mijn profiel

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.