Takafumi Kanamori
21 papers · 2003–2026 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(20)
Optimization & Theory
(15)
Core Methods
(12)
Learning Types
(10)
Mathematics & Optimization
(6)
Bayesian & Probabilistic Β· Machine Learning
(6)
Artificial Intelligence
(3)
Application Areas
(3)
Mathematics
(3)
Optimization
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Methods
(2)
Reinforcement Learning
(1)
Keywords
density ratio estimation
(5)
binary classification
(3)
unnormalized model
(3)
bregman divergence
(2)
normalization constant
(2)
density ridge
(2)
uncertainty set
(2)
asymptotic variance
(2)
robust estimation
(2)
closed-form solution
(2)
density estimation
(2)
parameter estimation
(2)
derivative estimation
(2)
fisher efficient
(2)
distribution comparison
(2)
importance estimation
(2)
probability density
(2)
outlier detection
(2)
mode estimation
(1)
self-supervised learning
(1)
Papers
A Convex Framework for Confounding Robust Inference
JMLR 2026
Bregman contrastive estimation as a general framework for learning unnormalized models: Efficiency, robustness and optimal noise
UAI 2026
Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite
UAI 2026
Deep Self-Supervised Learning of Speech Denoising from Noisy Speeches
Interspeech 2022
Estimating Density Models with Truncation Boundaries using Score Matching
JMLR 2022
Mode estimation on matrix manifolds: Convergence and robustness
AISTATS 2022
A Unified Statistically Efficient Estimation Framework for Unnormalized Models
AISTATS 2020
Robust modal regression with direct gradient approximation of modal regression risk
UAI 2020
Fisher Efficient Inference of Intractable Models
NeurIPS 2019
Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios
JMLR 2018
Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios
AISTATS 2017
Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences
JMLR 2017
Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces
NeurIPS 2015
Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems
JMLR 2013
A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems
COLT 2012
Density-Difference Estimation
NeurIPS 2012
Relative Density-Ratio Estimation for Robust Distribution Comparison
NeurIPS 2011
Conditional Density Estimation via Least-Squares Density Ratio Estimation
AISTATS 2010
A Least-squares Approach to Direct Importance Estimation
JMLR 2009
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection
NeurIPS 2008
Approximating Mutual Information by Maximum Likelihood Density Ratio Estimation
AISTATS 2003