Tomoya Murata
10 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (18) π Conference Polyglot (5)
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Academic Marathon
(8)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(11)
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Century Club
(10)
π₯
Unstoppable
(6)
Conferences
ICML (3)
NIPS (3)
AISTATS (2)
ICLR (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
distributed optimization
(2)
federated learning
(2)
nonconvex optimization
(2)
stochastic gradient
(2)
gradient descent
(2)
communication complexity
(2)
variance reduction
(2)
distributed learning
(2)
generalization error
(1)
spectral analysis
(1)
dual averaging
(1)
restricted eigenvalue
(1)
least squares regression
(1)
communication efficiency
(1)
sparse linear regression
(1)
accelerated gradient
(1)
saddle point
(1)
iterative method
(1)
iterative hard thresholding
(1)
hard thresholding
(1)
Papers
Clustered Invariant Risk Minimization
AISTATS 2025
Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
ICLR 2024
SILVER: Single-loop variance reduction and application to federated learning
ICML 2024
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning
ICML 2023
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning
NIPS 2022
Gradient Descent in RKHS with Importance Labeling
AISTATS 2021
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
ICML 2021
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error
IJCAI 2020
Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
NIPS 2018
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
NIPS 2017