二見 太

Information-theoretic Generalization Analysis for Expected Calibration Error. 

NeurIPS 2024年  筆頭著者

Information-theoretic Analysis of Bayesian Test Data Sensitivity. 

AISTATS 1099-1107 2024年  査読有り筆頭著者

Time-Independent Information-Theoretic Generalization Bounds for SGLD. 

NeurIPS 2023年  査読有り筆頭著者

Predictive variational Bayesian inference as risk-seeking optimization. 

International Conference on Artificial Intelligence and Statistics(AISTATS) 5051-5083 2022年3月  査読有り筆頭著者

Excess risk analysis for epistemic uncertainty with application to variational inference. 

CoRR abs/2206.01606 2022年  

Loss function based second-order Jensen inequality and its application to particle variational inference. 

Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021(NeurIPS) 6803-6815 2021年12月  査読有り筆頭著者

Scalable gradient matching based on state space Gaussian Processes. 

Asian Conference on Machine Learning(ACML) 769-784 2021年11月  査読有り筆頭著者

Skew-symmetrically perturbed gradient flow for convex optimization. 

Asian Conference on Machine Learning(ACML) 721-736 2021年11月  査読有り筆頭著者

Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics with Skew-Symmetric Matrices. 

Entropy 23(8) 993-993 2021年7月  査読有り筆頭著者

Accelerating the diffusion-based ensemble sampling by non-reversible dynamics. 

Proceedings of the 37th International Conference on Machine Learning(ICML) 3337-3347 2020年7月  査読有り筆頭著者

Bayesian Posterior Approximation via Greedy Particle Optimization. 

The Thirty-Third AAAI Conference on Artificial Intelligence(AAAI) 3606-3613 2019年1月  査読有り筆頭著者

Variational Inference based on Robust Divergences. 

International Conference on Artificial Intelligence and Statistics(AISTATS) 813-822 2018年4月  査読有り筆頭著者

Expectation Propagation for t-Exponential Family Using q-Algebra. 

Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017(NIPS) 2245-2254 2017年12月  査読有り筆頭著者