Ma, Yian
- Underspecification Presents Challenges for Credibility in Modern Machine Learning
2020/11/06 by Alexander D'Amour, Alexander D’Amour, D'Amour, Alexander +81 · 8 voices · 64 citations
Computer Science · Mathematics · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Topic Modeling #cs.LG #stat.ML
- Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence
2021/06/30 by Ghassen Jerfel, Jerfel, Ghassen, Serena Wang +9 · 3 citations
Computer Science · Engineering · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
- Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
2024/06/27 by Amartya Sanyal, Sanyal, Amartya, Yaxi Hu +9 · 6 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Statistical Process Monitoring #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
- Efficiently Scaling LLM Reasoning with Certaindex
2024/12/30 by Yichao Fu, Fu, Yichao, Junda Chen +11 · 7 citations
Computer Science · #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies
- Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
2023/07/27 by Kyurae Kim, Yi-An Ma, Kim, Kyurae +3 · 4 citations
Business, Management and Accounting · Economics, Econometrics and Finance · #Computation (stat.CO) #Corporate Finance and Governance #Credit Risk and Financial Regulations #FOS: Computer and information sciences #Law, Economics, and Judicial Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Disentangled Multi-Fidelity Deep Bayesian Active Learning
2023/05/07 by Dongxia Wu, Ruijia Niu, Wu, Dongxia +7 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Model Reduction and Neural Networks
- Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo
2024/01/12 by Huang, Xunpeng, Zou, Difan, Dong, Hanze +2 · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion
2025/05/28 by Xunpeng Huang, Huang, Xunpeng, Yingyu Lin +11 · 3 citations
Computer Science · Mathematics · #Generative Adversarial Networks and Image Synthesis #Markov Chains and Monte Carlo Methods #Stochastic Gradient Optimization Techniques