← Authors

Yuichi Yoshida

21 papers · 2013–2023 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (8) πŸ‘‘ Triple Crown πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (88) πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (21)

Conferences

NIPS (7) IJCAI (4) AISTATS (3) ICLR (2) ICML (2) AAAI (1) EACL (1) UAI (1)

Top co-authors

Kohei Hayashi (3) Tasuku Soma (3) Masaaki Imaizumi (2) Ken-Ichi Kawarabayashi (2) Shinji Ito (2) Akbar Rafiey (2) Danushka Bollegala (2) Takeru Miyato (1) Huda Hakami (1) James Cheng (1)

Research topics

Differential Privacy (1)

Keywords

approximation algorithm (4) submodular optimization (3) combinatorial optimization (2) constant time algorithm (2) regret bound (2) submodular maximization (2) matroid constraint (2) submodular function (2) online algorithm (2) k-submodular function (2) variational inference (1) gradient descent (1) gaussian process regression (1) random sampling (1) random walk (1) online learning (1) low-rank approximation (1) kernel regression (1) tensor decomposition (1) link prediction (1)

Papers

A Batch-to-Online Transformation under Random-Order Model NIPS 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network ICML 2023
Average Sensitivity of Decision Tree Learning ICLR 2023
Average Sensitivity of Euclidean k-Clustering NIPS 2022
Sparsification of Decomposable Submodular Functions AAAI 2022
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding EACL 2021
Online Risk-Averse Submodular Maximization IJCAI 2021
Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits NIPS 2020
Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints ICML 2020
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis AISTATS 2020
Variational Inference of Penalized Regression with Submodular Functions UAI 2019
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization AISTATS 2018
Spectral Normalization for Generative Adversarial Networks ICLR 2018
Statistically Efficient Estimation for Non-Smooth Probability Densities AISTATS 2018
Computational Aspects of the Preference Cores of Supermodular Two-Scenario Cooperative Games IJCAI 2018
Fitting Low-Rank Tensors in Constant Time NIPS 2017
Minimizing Quadratic Functions in Constant Time NIPS 2016
Efficient Algorithms for Spanning Tree Centrality IJCAI 2016
A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice NIPS 2015
Monotone k-Submodular Function Maximization with Size Constraints NIPS 2015
Mining for Analogous Tuples from an Entity-Relation Graph IJCAI 2013