坂上 晋作

Non-Stationary Online Structured Prediction with Surrogate Losses. 

CoRR abs/2510.07086 2025年10月  

Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems. 

ICML 2025年  

Inverse Optimization with Prediction Market: A Characterization of Scoring Rules for Elciting System States. 

International Conference on Artificial Intelligence and Statistics(AISTATS) 451-459 2025年  

Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel-Young Loss Perspective and Gap-Dependent Regret Analysis. 

International Conference on Artificial Intelligence and Statistics(AISTATS) 46-54 2025年  

Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming. 

Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024(NeurIPS) 2024年  

No-Regret M♮-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting. 

Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024(NeurIPS) 2024年  

Online Structured Prediction with Fenchel-Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss. 

The Thirty Seventh Annual Conference on Learning Theory(COLT) 4458-4486 2024年  

Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case. 

Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023(NeurIPS) 2023年  

Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster L-/L♮-Convex Function Minimization. 

International Conference on Machine Learning(ICML) 29760-29776 2023年  

Nearly Tight Spectral Sparsification of Directed Hypergraphs. 

50th International Colloquium on Automata, Languages, and Programming(ICALP) 94-19 2023年  

Improved Generalization Bound and Learning of Sparsity Patterns for Data-Driven Low-Rank Approximation. 

International Conference on Artificial Intelligence and Statistics(AISTATS) 1-10 2023年  

Making individually fair predictions with causal pathways. 

Data Mining and Knowledge Discovery 37(4) 1327-1373 2023年  

Selecting molecules with diverse structures and properties by maximizing submodular functions of descriptors learned with graph neural networks 

SCIENTIFIC REPORTS 12(1) 2022年1月  

Nearly Tight Spectral Sparsification of Directed Hypergraphs by a Simple Iterative Sampling Algorithm. 

CoRR abs/2204.02537 2022年  

Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions. 

Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022(NeurIPS) 2022年  

Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search. 

Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022(NeurIPS) 2022年