Three papers accepted at the 33rd NeurIPS Conference

ML@EURECOM will be present at the upcoming 33rd Conference on Neural Information Processing Systems (NeurIPS) with three papers, of which two during the main conference and one during the 4th Bayesian Deep Learning workshop:

• Christopher Nemeth, Fredrik Lindsten, Maurizio Filippone, James Hensman. Pseudo-extended Markov chain Monte Carlo
• Motonobu Kanagawa and Philipp Hennig. Convergence Guarantees for Adaptive Bayesian Quadrature Methods
• Simone Rossi, Sébastien Marmin and Maurizio Filippone. Efficient Approximate Inference with Walsh-Hadamard Variational Inference. 4th Workshop on Bayesian Deep Learning