"Kazuki Osawa,Siddarth Swaroop,Anirudh Jain,Runa Eschenhagen,Richard E. Turner,Rio Yokota,Mohammad Emtiyaz Khan","Practical Deep Learning with Bayesian Principles","The 33rd Conference on Neural Information Processing Systems",,,,,,2019,Dec.
"Hiroki Naganuma,Rio Yokota","On Empirical Analysis of Layer-wised Learning Rate Schedule","ACML 2019 Workshop on Statistics & Machine Learning Researchers",,,,,,2019,Nov.
"Akihiro Ida,Hiroshi Nakashima,Tasuku Hiraishi,Ichitaro Yamazaki,Rio Yokota,Takeshi Iwashita","QR Factorization of Block Low-rank Matrices with Weak Admissibility Condition",,"Journal of Information Processing",,"Vol. 12","No. 4",,2019,Nov.
"Qianxing Ma,Rio Yokota","Runtime System for GPU-based Hierarchical LU factorization","The International Conference for High Performance Computing, Networking, Storage, and Analysis",,,,,,2019,Nov.
"Hiroyuki Ootomo,Rio Yokota","TSQR on TensorCores","The International Conference for High Performance Computing, Networking, Storage, and Analysis",,,,,,2019,Nov.
"Keita Yashima,石川康太,佐藤育郎,Akihiro Nomura,Rio Yokota,SATOSHI MATSUOKA","早期終了タイミングを予測する：深層学習における確率勾配の分布の変化点検出","第22回情報論的学習理論ワークショップ (IBIS 2019)",,,,,,2019,Nov.
"Satoshi Ohshima,Ichitaro Yamazaki,Akihiro Ida,Rio Yokota","Optimization of Numerous Small Dense-Matrix?Vector Multiplications in H-matrix Arithmetic on GPU","Auto-Tuning for Multicore and GPU (ATMG) In conjunction with the IEEE MCSoC-19",,,,,,2019,Oct.
"Hiroyuki Ootomo,Rio Yokota","Tensorコアを用いたTSQR","日本応用数理学会年会",,,,,,2019,Sept.
"Ichitaro Yamazaki,Akihiro Ida,Rio Yokota,Jack Dongarra","Distributed Memory Lattice H-matrix Factorization",,"The International Journal of High Performance Computing Applications",,,,,2019,Aug.
"Yohei Tsuji,Kazuki Osawa,Yuichiro Ueno,Akira Naruse,Rio Yokota,Satoshi Matsuoka","Performance Optimizations and Analysis of Distributed Deep Learning with Approximated Second-Order Optimization Method","International Conference on Parallel Processing: The 1st Workshop on Parallel and Distributed Machine Learning","Proceedings of the 48th International Conference on Parallel Processing: Workshops",,,"No. 21",,2019,Aug.
"H. Ootomo,R. Yokota","GPU Implementation of TSQR Using Tensor Cores","The 170th Workshop on High Performance Computing",,,,,,2019,July
"Peter Spalthoff,Rio Yokota","Flexible and Simplistic Hierarchical Matrix-Based Fast Direct Solver","The 170th Workshop on High Performance Computing",,,,,,2019,July
"Kazuki Osawa,Yohei Tsuji,Yuichiro Ueno,Akira Naruse,Rio Yokota,Satoshi Matsuoka","Second-order Optimization Method for Large Mini-batch: Training ResNet-50 on ImageNet in 35 Epochs","IEEE/CVF Conference on Computer Vision and Pattern Recognition",,,,,,2019,June
"Mustafa AbdulJabbar,Mohammed Al Farhan,Noha Al-Harthi,Rui Chen,Rio Yokota,Hakan Bagci,David Keyes","Extreme Scale FMM-Accelerated Boundary Integral Equation Solver for Wave Scattering",,"SIAM Journal on Scientific Computing",,"Vol. 4","No. 3","pp. C245--C268",2019,June
"Hiroki Naganuma,Rio Yokota","A Performance Improvement Approach for Second-Order Optimization in Large Mini-batch Training","2nd High Performance Machine Learning Workshop CCGrid2019 (HPML2019)",,,,,,2019,May
"Rio Yokota","Recent Trends in Hierarchical Low-Rank Approximation Methods","Tokyo Institute of Technology and Stony Brook University Joint Science and Technology Meeting",,,,,,2019,May
"Hiroki Naganuma,Rio Yokota","Effectiveness of Smoothing for Large-batch Training Using Natural Gradient Descent","The 3rd Cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming (xSIG)",,,,,,2019,May
"Yuichiro Ueno,Rio Yokota","Exhaustive Study of Hierarchical AllReduce Patterns for Large Messages Between GPUs","19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)",,,,,,2019,May
"Hiroki Naganuma,Rio Yokota","Smoothing of the Objective Function for Large Scale Parallel Deep Learning","The 81st National Convention of IPSJ",,,,,,2019,Mar.
"Hiroki Naganuma,Rio Yokota","Improving the Generalization Gap in Large-batch Training Using Noise Injection","IEICE General Conference",,,,,,2019,Mar.
"Rio Yokota,Kazuki Osawa,Yohei Tsuji,Yuichiro Ueno,Akira Naruse","Second Order Optimization for Large Scale Parallel Deep Learning","IEICE General Conference",,,,,,2019,Mar.
"Kazuki Osawa,Rio Yokota,Chuan-Sheng Foo,Vijay Chandrasekhar","Second Order Optimization for Large Scale Parallel Deep Learning Through Analysis of the Fisher Information Matrix","The 81st National Convention of IPSJ",,,,,,2019,Mar.
"Hikaru Nakata,Kazuki Osawa,Rio Yokota","Variational Inference in Deep Learning Using Natural Gradient Descent","The 81st National Convention of IPSJ",,,,,,2019,Mar.
"Hiroyuki Ootomo,Rio Yokota","Batched QR Decomposition Using TensorCores","The 81st National Convention of IPSJ",,,,,,2019,Mar.
"Rio Yokota","Kronecker Factorization for Second Order Optimization in Deep Learning","SIAM Conference on Computational Science and Engineering",,,,,,2019,Feb.