202 citations · 638 across the 18 of their papers we have counts for
5 papers · 1 filter
Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning
Qianli Liao, Kenji Kawaguchi, Tomaso Poggio
We systematically explored a spectrum of normalization algorithms related to Batch Normalization (BN) and propose a generalized formulation that simultaneously solves two major lim…
Global Continuous Optimization with Error Bound and Fast Convergence
Kenji Kawaguchi, Yu Maruyama, Xiaoyu Zheng
This paper considers global optimization with a black-box unknown objective function that can be non-convex and non-differentiable. Such a difficult optimization problem arises in…
Deep Learning without Poor Local Minima
Kenji Kawaguchi
In this paper, we prove a conjecture published in 1989 and also partially address an open problem announced at the Conference on Learning Theory (COLT) 2015. With no unrealistic as…
Bounded Optimal Exploration in MDP
Kenji Kawaguchi
Within the framework of probably approximately correct Markov decision processes (PAC-MDP), much theoretical work has focused on methods to attain near optimality after a relativel…
Bayesian Optimization with Exponential Convergence
Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez
This paper presents a Bayesian optimization method with exponential convergence without the need of auxiliary optimization and without the delta-cover sampling. Most Bayesian optim…