Slides
Slides in English
- 2014/3/18: Towards better computation-statistics trade-off in tensor decomposition (@Trends in Machine Learning at Kyoto University)
- 2012/8/15: Convex Optimization: Old Tricks for New Problems (@PhD Summer Course at Technical University of Denmark)
- 2012/5/7: Introduction to Tensor Decomposition Methods (@ Miyano Lab., Human Genome Center, Institute of Medical Science)
- 2012/1/26: Statistical Performance of Convex Tensor Decomposition (@Perspectives in Informatics 4B, Kyoto University)
- 2011/8/26: Convex Optimization: Old Tricks for New Problems (@PhD Summer Course at Technical University of Denmark)
- 2011/3/23: Estimation of low-rank tensors via convex optimization (@TU Berlin)
- 2010/12/11: Regularization Strategies and Empirical Bayesian Learning for MKL [Video] (@NIPS2010 Workshop: New Directions in Multiple Kernel Learning
- 2010/12/10: On the Extension of Trace Norm to Tensors (@NIPS2010 Workshop: Tensors, Kernels, and Machine Learning)
- 2010/6/22: A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices (@ICML2010)
- 2009/12/12: Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparse Learning [Video] (@ NIPS Optimization Workshop 2009)
- 2009/9/15: Dual Augmented Lagrangian, Proximal Minimization, and MKL (@TU Berlin)
Slides in Japanese
- 2012/11/30: 凸最適化に基づく テンソル分解アルゴリズム @ 大阪大学ナノサイエンスデザイン教育研究センター
- 2011/10/25: 機械学習における連続最適化の新しいトレンド (@ RAMPシンポジウム 2011)
- 2011/1/20: 機械学習における連続最適化の新しいトレンド (@ NEC データマイニングセミナー)
- 2010/8/18: 低ランク行列の学習のための速い拡張ラグランジュ法 (@ICML 2010読み会)
- 2010/4/13: Dual Augmented Lagrangian Algorithm 法による スパース正則化（＠統計学輪講）
- 2009/8/31: MATLABによるスパース正則化／信号復元のデモンストレーション (PRMU/CVIM 仙台) [English translation]