Willie Neiswanger
- AI Benchmark Half-Life in Recursive Corpora: A Theory of Validity Decay under Semantic Leakage and Regeneration
2024/06/27 by Samuel Dooley, White, Colin, Dooley, Samuel +29 · 103 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
2020/08/27 by Aurick Qiao, Qiao, Aurick, Sang Keun Choe +13 · 14 citations
Computer Science · #Advanced Neural Network Applications #Age of Information Optimization #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
2019/08/05 by Ksenia Korovina, Korovina, Ksenia, Sailun Xu +11 · 11 citations
Computer Science · Materials Science · Engineering · #Computational Drug Discovery Methods #Machine Learning in Materials Science #Process Optimization and Integration
- Methods for comparing uncertainty quantifications for material property\n predictions
2019/12/20 by Kevin Tran, Willie Neiswanger, Tran, Kevin +9 · 9 citations
Computer Science · Materials Science · #Computational Drug Discovery Methods #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
- Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
2020/11/18 by Youngseog Chung, Willie Neiswanger, Chung, Youngseog +5 · 9 citations
Engineering · Decision Sciences · Computer Science · #Fault Detection and Control Systems #Probabilistic and Robust Engineering Design #Adversarial Robustness in Machine Learning
- LLM360: Towards Fully Transparent Open-Source LLMs
2023/12/11 by Zhengzhong Liu, Liu, Zhengzhong, Aurick Qiao +53 · 11 citations
Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Natural Language Processing Techniques #Topic Modeling
- SlimPajama-DC: Understanding Data Combinations for LLM Training
2023/09/19 by Zhiqiang Shen, Shen, Zhiqiang, Tianhua Tao +16 · 9 citations
Computer Science · Decision Sciences · #Natural Language Processing Techniques #Topic Modeling #Data Quality and Management
- Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification
2021/09/21 by Youngseog Chung, Chung, Youngseog, Ian Char +7 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Bayesian Optimization Algorithms for Accelerator Physics
2023/12/09 by Ryan Roussel, Auralee Edelen, Roussel, Ryan +48 · 7 citations
Computer Science · Engineering · #Accelerator Physics (physics.acc-ph) #Advanced Multi-Objective Optimization Algorithms #FOS: Physical sciences #Particle accelerators and beam dynamics
- Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
2021/04/19 by Willie Neiswanger, Neiswanger, Willie, Ke Alexander Wang +3 · 4 citations
Computer Science · Decision Sciences · #Gaussian Processes and Bayesian Inference #Advanced Bandit Algorithms Research #Machine Learning and Algorithms
- Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
2025/07/22 by Ang Li, Li, Ang, Charles Wang +21 · 1 voice · 14 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.CV #cs.LG
- DeLLMa: Decision Making Under Uncertainty with Large Language Models
2024/02/04 by Ollie Liu, Liu, Ollie, Deqing Fu +5 · 5 citations
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
- LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch
2025/01/13 by Zhengzhong Liu, Liu, Zhengzhong, Bowen Tan +47 · 7 citations
Computer Science · #Natural Language Processing Techniques
- Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
2021/06/23 by Yang Liu, Liu, Yang, Sujay Khandagale +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Healthcare
- Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution
2024/02/13 by Tailin Wu, Willie Neiswanger, Wu, Tailin +7 · 3 citations
Decision Sciences · #Probabilistic and Robust Engineering Design
- A General Recipe for Likelihood-free Bayesian Optimization
2022/06/27 by Jiaming Song, Lantao Yu, Song, Jiaming +5 · 2 citations
Computer Science · Decision Sciences · #Gaussian Processes and Bayesian Inference #Forecasting Techniques and Applications #Machine Learning and Algorithms
- Importance-aware Co-teaching for Offline Model-based Optimization
2023/09/20 by Ye Yuan, Yuan, Ye, Can Chen +7 · 2 citations
Computer Science · Materials Science · #Machine Learning and Data Classification #Machine Learning in Materials Science
- Betty: An Automatic Differentiation Library for Multilevel Optimization
2022/07/05 by Sang Keun Choe, Choe, Sang Keun, Willie Neiswanger +5 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Neural Networks and Reservoir Computing #Optimization and Control (math.OC)
- Tina: Tiny Reasoning Models via LoRA
2025/04/22 by Shangshang Wang, Julian Asilis, Wang, Shangshang +9 · 4 citations
Computer Science · #Machine Learning and Data Classification #Human Pose and Action Recognition #Neural Networks and Applications
- Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
2019/03/15 by Kirthevasan Kandasamy, Kandasamy, Kirthevasan, Karun Raju Vysyaraju +13 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- An Exam for Active Observers
2026/07/17 by Jiarui Zhang, Muzi Tao, Shangshang Wang +3 · 3 voices
#cs.CV #cs.AI #cs.CL #cs.LG
- Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms
2014/09/22 by Yu-Xiang Wang, Wang, Yu-Xiang, Veeranjaneyulu Sadhanala +9 · 1 citation
Computer Science · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Optimization and Search Problems #Stochastic Gradient Optimization Techniques
- Generalizing Bayesian Optimization with Decision-theoretic Entropies
2022/10/04 by Willie Neiswanger, Neiswanger, Willie, Lantao Yu +7 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Target Tracking and Data Fusion in Sensor Networks
- Exploration via Planning for Information about the Optimal Trajectory
2022/10/06 by Viraj Mehta, Mehta, Viraj, Ian Char +13 · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Data Classification #Data Stream Mining Techniques
- Near-optimal Policy Identification in Active Reinforcement Learning
2022/12/19 by Xiang Li, Viraj Mehta, Li, Xiang +13 · 1 citation
Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Machine Learning and Algorithms
- Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions
2024/12/11 by Jiarui Zhang, Ollie Liu, Zhang, Jiarui +7 · 2 citations
Computer Science · #Natural Language Processing Techniques #Video Analysis and Summarization
- Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF
2025/03/28 by Syrine Belakaria, Joshua Kazdan, Belakaria, Syrine +13 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
- METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring
2025/01/03 by Ollie Liu, Liu, Ollie, Sami Jaghouar +11 · 1 voice · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Genomics (q-bio.GN) #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG #q-bio.GN
- Trustworthy Protein-Ligand Binding Affinity Prediction via Reliability-Aware Multi-Engine Fusion
2026/07/20 by Yongchan Hong, Defu Cao, Wenjin Liu +6
#cs.LG #cs.AI