Kazusato Oko

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Diffusion Models

Structured And Unstructured Data

Coordinate Ascent

Top Venues

Publications

Kazusato Oko, Yujin Song, Taiji Suzuki, Denny Wu
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations. COLT (2024)
Atsushi Nitanda, Kazusato Oko, Taiji Suzuki, Denny Wu
Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data. ICLR (2024)
Kenji Fukumizu, Taiji Suzuki, Noboru Isobe, Kazusato Oko, Masanori Koyama
Flow matching achieves minimax optimal convergence. CoRR (2024)
Juno Kim, Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems. ICLR (2024)
Kazusato Oko, Yujin Song, Taiji Suzuki, Denny Wu
Learning sum of diverse features: computational hardness and efficient gradient-based training for ridge combinations. CoRR (2024)
Jason D. Lee, Kazusato Oko, Taiji Suzuki, Denny Wu
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit. CoRR (2024)
Atsushi Nitanda, Kazusato Oko, Denny Wu, Nobuhito Takenouchi, Taiji Suzuki
Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems. CoRR (2023)
Kazusato Oko, Shunta Akiyama, Taiji Suzuki
Diffusion Models are Minimax Optimal Distribution Estimators. ICML (2023)
Taiji Suzuki, Denny Wu, Kazusato Oko, Atsushi Nitanda
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond. NeurIPS (2023)
Kazusato Oko, Shunta Akiyama, Taiji Suzuki
Diffusion Models are Minimax Optimal Distribution Estimators. CoRR (2023)
Kazusato Oko, Shinsaku Sakaue, Shin-ichi Tanigawa
Nearly Tight Spectral Sparsification of Directed Hypergraphs. ICALP (2023)
Atsushi Nitanda, Kazusato Oko, Denny Wu, Nobuhito Takenouchi, Taiji Suzuki
Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems. ICML (2023)
Kazusato Oko, Taiji Suzuki, Atsushi Nitanda, Denny Wu
Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization. ICLR (2022)
Kazusato Oko, Shunta Akiyama, Tomoya Murata, Taiji Suzuki
Versatile Single-Loop Method for Gradient Estimator: First and Second Order Optimality, and its Application to Federated Learning. CoRR (2022)
Kazusato Oko, Shinsaku Sakaue, Shin-ichi Tanigawa
Nearly Tight Spectral Sparsification of Directed Hypergraphs by a Simple Iterative Sampling Algorithm. CoRR (2022)
Yuuki Nishiyama, Hiroaki Murakami, Ryoto Suzuki, Kazusato Oko, Issey Sukeda, Kaoru Sezaki, Yoshihiro Kawahara
MOCHA: mobile check-in application for university campuses beyond COVID-19. MobiHoc (2022)