Akiko Takeda
23 papers · 2012–2025 · 8 conferences · across top CS/AI conferences
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(23)
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Conferences
NIPS (7)
ICML (5)
JMLR (5)
AISTATS (2)
AAAI (1)
COLT (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
binary classification
(4)
stochastic optimization
(4)
support vector machine
(4)
global optimization
(3)
non-convex optimization
(3)
bilevel optimization
(3)
nonconvex optimization
(2)
gradient descent
(2)
uncertainty set
(2)
homotopy method
(2)
proximal gradient method
(2)
hyperparameter learning
(2)
outlier detection
(2)
bayesian learning
(1)
variational inference
(1)
data poisoning
(1)
statistical consistency
(1)
stochastic gradient
(1)
single-loop optimization
(1)
parameter estimation
(1)
Papers
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
AAAI 2025
Modified K-means Algorithm with Local Optimality Guarantees
ICML 2025
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
ICML 2025
On the Role of Label Noise in the Feature Learning Process
ICML 2025
Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization
ICLR 2025
A Framework for Bilevel Optimization on Riemannian Manifolds
NIPS 2024
SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining
NIPS 2024
Robust Gaussian process regression with the trimmed marginal likelihood
UAI 2023
Single Loop Gaussian Homotopy Method for Non-convex Optimization
NIPS 2022
A Gradient Method for Multilevel Optimization
NIPS 2021
Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization
JMLR 2021
On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization
JMLR 2021
Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization
ICML 2019
Nonconvex Optimization for Regression with Fairness Constraints
ICML 2018
A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification
JMLR 2017
Trimmed Density Ratio Estimation
NIPS 2017
Position-based Multiple-play Bandit Problem with Unknown Position Bias
NIPS 2017
Robust Cost Sensitive Support Vector Machine
AISTATS 2015
Geometric Intuition and Algorithms for Ev--SVM
JMLR 2015
Global Optimization Methods for Extended Fisher Discriminant Analysis
AISTATS 2014
Conjugate Relation between Loss Functions and Uncertainty Sets in Classification Problems
JMLR 2013
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering
NIPS 2013
A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems
COLT 2012