Kanamori, Takafumi

25 publications

NeurIPSW 2023 Local Acquisition Function for Active Level Set Estimation Yuta Kokubun, Kota Matsui, Kentaro Kutsukake, Wataru Kumagai, Takafumi Kanamori

ECML-PKDD 2023 Towards Understanding the Mechanism of Contrastive Learning via Similarity Structure: A Theoretical Analysis Hiroki Waida, Yuichiro Wada, Léo Andéol, Takumi Nakagawa, Yuhui Zhang, Takafumi Kanamori

AISTATS 2022 Mode Estimation on Matrix Manifolds: Convergence and Robustness Hiroaki Sasaki, Jun-Ichiro Hirayama, Takafumi Kanamori

JMLR 2022 Estimating Density Models with Truncation Boundaries Using Score Matching Song Liu, Takafumi Kanamori, Daniel J. Williams

AISTATS 2020 A Unified Statistically Efficient Estimation Framework for Unnormalized Models Masatoshi Uehara, Takafumi Kanamori, Takashi Takenouchi, Takeru Matsuda

UAI 2020 Robust Modal Regression with Direct Gradient Approximation of Modal Regression Risk Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori

NeurIPS 2019 Fisher Efficient Inference of Intractable Models Song Liu, Takafumi Kanamori, Wittawat Jitkrittum, Yu Chen

MLJ 2019 Risk Bound of Transfer Learning Using Parametric Feature Mapping and Its Application to Sparse Coding Wataru Kumagai, Takafumi Kanamori

AISTATS 2017 Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios Hiroaki Sasaki, Takafumi Kanamori, Masashi Sugiyama

JMLR 2017 Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences Takashi Takenouchi, Takafumi Kanamori

NeurIPS 2015 Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces Takashi Takenouchi, Takafumi Kanamori

MLJ 2013 Computational Complexity of Kernel-Based Density-Ratio Estimation: A Condition Number Analysis Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama

JMLR 2013 Conjugate Relation Between Loss Functions and Uncertainty Sets in Classification Problems Takafumi Kanamori, Akiko Takeda, Taiji Suzuki

MLJ 2013 Semi-Supervised Learning with Density-Ratio Estimation Masanori Kawakita, Takafumi Kanamori

COLT 2012 A Conjugate Property Between Loss Functions and Uncertainty Sets in Classification Problems Takafumi Kanamori, Akiko Takeda, Taiji Suzuki

ICML 2012 A Unified Robust Classification Model Akiko Takeda, Hiroyuki Mitsugi, Takafumi Kanamori

NeurIPS 2012 Density-Difference Estimation Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus D. Plessis, Song Liu, Ichiro Takeuchi

MLJ 2012 Statistical Analysis of Kernel-Based Least-Squares Density-Ratio Estimation Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama

NeurIPS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama

AISTATS 2010 Conditional Density Estimation via Least-Squares Density Ratio Estimation Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara

JMLR 2009 A Least-Squares Approach to Direct Importance Estimation Takafumi Kanamori, Shohei Hido, Masashi Sugiyama

NeurIPS 2008 Efficient Direct Density Ratio Estimation for Non-Stationarity Adaptation and Outlier Detection Takafumi Kanamori, Shohei Hido, Masashi Sugiyama

ALT 2007 Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability Takafumi Kanamori

NeCo 2004 Information Geometry of U-Boost and Bregman Divergence Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi

NeCo 2002 Robust Regression with Asymmetric Heavy-Tail Noise Distributions Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori