UNIVERSAL APPROXIMATION OF INPUT-OUTPUT MAPS BY TEMPORAL CONVOLUTIONAL NETS

von Hanson, Joshua
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 18 of 20 (2020)

Online discrete optimization in social networks in the presence of Knightian uncertainty

von Raginsky, Maxim
Veröffentlicht in Operations research (-2016)

Concentration of measure inequalities in information theory, communications, and coding

von Raginsky, Maxim
Veröffentlicht 2013

Concentration of measure inequalities in information theory, communications, and coding

von Raginsky, Maxim
Veröffentlicht 2018

Approximate Markov-Nash equilibria for discrete-time risk-sensitive mean-field games

von Saldi, Naci
Veröffentlicht in Mathematics of operations research (2020)

Approximate Nash equilibria in partially observed stochastic games with mean-field interactions

von Saldi, Naci
Veröffentlicht in Mathematics of operations research (2019)

Information-theoretic generalization bounds for black-box learning algorithms

von Harutyunyan, Hrayr
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 30 of 36 (2022)

MODEL-AUGMENTED CONDITIONAL MUTUAL INFORMATION ESTIMATION FOR FEATURE SELECTION

von YANG, ALAN
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 3 of 3 (2021)