Happy to have 5 papers accepted at ICLR 2021 (among which 2 oral presentations) and 1 paper at ALT 2021!
- Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes (oral), Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
- Boost then Convolve: Gradient Boosting Meets Graph Neural Networks, Sergei Ivanov, Liudmila Prokhorenkova
- Adaptive Extra-Gradient Methods for Min-Max Optimization and Games, Kimon Antonakopoulos, Veronica Belmega, Panayotis Mertikopoulos
- PDE-Driven Spatiotemporal Disentanglement, Jérémie Donà, Jean-Yves Franceschi, Sylvain Lamprier, Patrick Gallinari
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting (oral), Vincent Le Guen, Yuan Yin, Jérémie Dona, Ibrahim Ayed, Emmanuel de Bezenac, Nicolas Thome, Patrick Gallinari
- Optimal Regret Bounds for Generalized Linear Bandits under Parameter Drift, Louis Faury, Yoan Russac, Marc Abeille, Clement Calauzenes