Kentaro Minami

4 papers · 2016–2023 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🌱 Topic Pioneer

Venues

AAAI (1) AISTATS (1) ICLR (1) NeurIPS (1)

Top co-authors

Masaaki Imaizumi (1) Hiroshi Nakagawa (1) Issei Sato (1) Kentaro Imajo (1) Casey Chu (1) Masahiro Kato (1) Kenji Fukumizu (1) Kei Nakagawa (1) Katsuya Ito (1) HItomi Arai (1)

Research topics

Machine Learning (4) Deep Learning (2) Models (2) Optimization & Theory (2) Artificial Intelligence (1) Mathematics & Optimization (1) Application Areas · Deep Learning (1) Application Areas · Machine Learning (1) Bayesian & Probabilistic (1) Core Methods (1) Learning Types (1) Mathematics (1)

Keywords

neural network architecture (1) differential privacy (1) risk management (1) optimal transport (1) kl divergence (1) maximum likelihood (1) gradient descent (1) density ratio estimation (1) convex loss (1) exponential mechanism (1) generative model (1) portfolio optimization (1) generative adversarial network (1) distributional prediction (1) integral probability metric (1) lipschitz constraint (1) gibbs posterior (1) gradient penalty (1) neural network (1) stock trading (1)

Papers

Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics AISTATS 2023 Deep Portfolio Optimization via Distributional Prediction of Residual Factors AAAI 2021 Smoothness and Stability in GANs ICLR 2020 Differential Privacy without Sensitivity NeurIPS 2016