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Kazusato Oko
Observed name:
Oko, Kazusato
Institutions:
RIKEN Center for Advanced Intelligence Project,
University of California, Berkeley
Observed institutions:
RIKEN,
RIKEN Center for Advanced Intelligence Project,
The University of Tokyo,
University of California, Berkeley
OpenAlex ID:
A5000007788
Diffusion Models are Minimax Optimal Distribution Estimators
2023
·
Oko, Kazusato
, Akiyama, Shunta
, et al.
·
arXiv (Cornell University)
·
13
PDF
MOCHA
2022
·
Yuuki Nishiyama
, Hiroaki Murakami
, et al.
·
ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc)
·
4
PDF
Nearly Tight Spectral Sparsification of Directed Hypergraphs by a Simple Iterative Sampling Algorithm
2026
·
Kazusato Oko
, Shinsaku Sakaue
, et al.
·
Algorithmica
·
1
PDF
A Statistical Theory of Contrastive Pre-training and Multimodal Generative AI
2025
·
Oko, Kazusato
, Lin, Licong
, et al.
·
arXiv (Cornell University)
·
1
PDF
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context
2024
·
Kazusato Oko
, Yujin Song
, et al.
·
neural information processing systems
·
1
PDF
Distortion of AI Alignment Revisited: RLHF is a Decent Utilitarian Aligner
2026
·
Oko, Kazusato
, Ulichney, Annie
, et al.
·
arXiv (Cornell University)
PDF
When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars
2025
·
Higuchi, Rei
, Kawata, Ryotaro
, et al.
·
arXiv (Cornell University)
PDF
Direct Distributional Optimization for Provable Alignment of Diffusion Models
2025
·
Kawata, Ryotaro
, Oko, Kazusato
, et al.
·
arXiv (Cornell University)
PDF
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations
2024
·
Oko, Kazusato
, Song, Yujin
, et al.
·
arXiv (Cornell University)
PDF
Flow matching achieves almost minimax optimal convergence
2024
·
Fukumizu, Kenji
, Suzuki, Taiji
, et al.
·
arXiv (Cornell University)
PDF
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
2023
·
Kim, Juno
, Yamamoto, Kakei
, et al.
·
arXiv (Cornell University)
PDF
Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems
2023
·
Nitanda, Atsushi
, Oko, Kazusato
, et al.
·
arXiv (Cornell University)
PDF
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond
2023
·
Taiji Suzuki
, Denny Wu
, et al.
·
neural information processing systems
Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning
2022
·
Oko, Kazusato
, Akiyama, Shunta
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
15
Citation count:
20
H-index:
2
I10-index:
1
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