Kenta Niwa
10 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Machine Learning
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Optimization & Theory Β· Machine Learning
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Artificial Intelligence
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Deep Learning
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distributed learning
(2)
federated learning
(2)
non-convex optimization
(1)
hyperparameter optimization
(1)
optimal transport
(1)
convergence analysis
(1)
second-order optimization
(1)
hyperparameter tuning
(1)
mean estimation
(1)
decentralized optimization
(1)
neural network optimization
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gradient descent
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linear programming
(1)
communication efficiency
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temporal filtering
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minimax optimality
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convex optimization
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learning rate
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diffusion model
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image generation
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Papers
FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters
AAAI 2026
Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning Based on Implicit Bayesian Inference
ICML 2025
On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation
ICLR 2024
Optimal Transport with Cyclic Symmetry
AAAI 2024
Parameter-free Clipped Gradient Descent Meets Polyak
NeurIPS 2024
Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
ICLR 2024
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
NeurIPS 2023
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
CVPR 2023
Bilateral Video Magnification Filter
CVPR 2022
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction
ICML 2021