← Authors

Masaaki Imaizumi

17 papers · 2016–2025 · 8 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸƒ Academic Marathon (9) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (8) πŸ’Ž Century Club (17) πŸ”₯ Unstoppable (10) πŸ—ƒοΈ Keyword Collector (59)

Conferences

AISTATS (5) ICML (3) ICLR (2) JMLR (2) NIPS (2) CLEAR (1) IJCAI (1) UAI (1)

Top co-authors

Kohei Hayashi (4) Kenji Fukumizu (2) Takanori Maehara (2) Yuhta Takida (2) Yuichi Yoshida (2) Yuki Mitsufuji (2) Masahiro Kato (2) Ryohei Fujimaki (1) Satoshi Hayakawa (1) Minh Ha Quang (1)

Keywords

deep neural network (3) tensor decomposition (3) non-smooth function (2) nonparametric regression (2) approximation error (2) generalization error (2) minimax optimality (1) kl divergence (1) convex optimization (1) maximum likelihood (1) bayesian estimation (1) policy search (1) convex relaxation (1) gaussian process regression (1) low-rank approximation (1) density estimation (1) density ratio estimation (1) marginal likelihood (1) high-dimensional regression (1) partially observable markov decision process (1)

Papers

Distillation of Discrete Diffusion through Dimensional Correlations ICML 2025
Encode-Decoder-based GAN for Estimating Counterfactual Outcomes under Sequential Selection Bias and Combinatorial Explosion CLEAR 2025
Learning a Single Index Model from Anisotropic Data with Vanilla Stochastic Gradient Descent AISTATS 2025
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer ICLR 2024
Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics AISTATS 2023
High-dimensional Contextual Bandit Problem without Sparsity NIPS 2023
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting ICLR 2022
Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurfaces JMLR 2022
Improved generalization bounds of group invariant / equivariant deep networks via quotient feature spaces UAI 2021
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis AISTATS 2020
Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality JMLR 2020
Deep Neural Networks Learn Non-Smooth Functions Effectively AISTATS 2019
Statistically Efficient Estimation for Non-Smooth Probability Densities AISTATS 2018
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm NIPS 2017
Tensor Decomposition with Smoothness ICML 2017
Factorized Asymptotic Bayesian Policy Search for POMDPs IJCAI 2017
Doubly Decomposing Nonparametric Tensor Regression ICML 2016