We are happy to have 9 papers co-authored by researchers from the Criteo AI Lab at NeurIPS 2020
- Online non-convex optimization with inexact models, A. Héliou, M. Martin, P. Mertikopoulos, and T. Rahier
- Explore aggressively, update conservatively: Stochastic extragradient methods with variable stepsize scaling. Y. G. Hsieh, F. Iutzeler, and J. Malick, P. Mertikopoulos
- No-regret learning and mixed Nash equilibria: They do not mix. L. Flokas, E. V. Vlatakis-Gkaragkounis, T. Lianeas, P. Mertikopoulos, G. Piliouras
- On the almost sure convergence of stochastic gradient descent in non-convex problems, P. Mertikopoulos, N. Hallak, A. Kavis, V. Cevher
- On the Convergence of Smooth Regularized Approximate Value-Iteration Schemes, E. Smirnova and E. Dohmatob
- Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits, P. Perrault, E. Boursier, M. Valko and V. Perchet
- Robustness of Community Detection to Random Geometric Perturbations, S. Péché and V. Perchet
- Normalizing Kalman Filters for Multivariate Time Series Analysis, E. de Bézenac, S. S. Rangapuram, K. Benidis, M. Bohlke-Schneider, L. Stella, H. Hasson, R. Kurle, T. Januschowski, P. Gallinari
- On ranking via sorting by estimated expected utility. C. Calauzènes, N. Usunier