NeurIPS 2020 Accepted Papers

NeurIPS lol

September 28, 2020

This year marks the 34th annual Conference on Neural Information Processing Systems: a workshop and conference hosted by the Neural Information Processing Systems Foundation that is more casually referred to as NeurIPS.  While this year’s necessity to make things virtual means that NeurIPS 2020 will be a little different, as always, CAIDA has a lot to celebrate.  Eleven of our members have been awarded the great honour of having papers accepted for this year’s conference: a feat that is very difficult to achieve with the high number of submissions. 

NeurIPS 2020 will take place from December 6th to December 12th.  You can see a list of our members’ papers below, and you can find out more about this year’s conference here.


Hu Fu and Tao Lin

Learning Utilities and Equilibria in Non-Truthful Auctions

J. Hartford, K. Leyton-Brown, H. Raviv, D. Padnos, S. Lev, B. Lenz. 

Exemplar Guided Active Learning

Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, Johan U. Backstrom and R. Bhushan Gopaluni

Almost Surely Stable Deep Dynamics


Chris Liaw, Tasuku Soma, Nicholas J. A. Harvey

Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds


Dionysis Manousakas, Zuheng Xu, Cecilia Mascolo, Trevor Campbell

Bayesian Pseudocoresets

Vaden Masrani, Frank Wood, Rob Brekelmans, Michael A. Osborne, Vu Nguyen

Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective

Alireza Mehrtash, Purang Abolmaesumi, Polina Goland, Tina Kapur, Demian Wassermann, William M. Wells III

PEP: Parameter Ensembling by Perturbation

Victor Sanches Portella, Joey Zhou, Nicholas J. A. Harvey, Mark Schmidt

Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses


P. G. Sessa, I. Bogunovic, A. Krause, M. Kamgarpour

Contextual Games: Multiagent Learning with Side Information

P. G. Sessa, I. Bogunovic, M. Kamgarpour, A. Krause

Learning to Play Sequential Games versus Unknown Opponents

Md Aamir Raihan, Tor M. Aamodt

Sparse Weight Activation Training


G. Weisz, A. Gyorgy, W. Lin,  D. Graham, K. Leyton-Brown, C. Szepesvari, B. Lucier.

ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool




Note: All CAIDA Members have been bolded and a link has been provided to their personal webpages











< Back to News