Kristjan Greenewald
- The Computational Limits of Deep Learning
2020/07/10 by Neil C. Thompson, Neil Thompson, Kristjan Greenewald +6 · 6 voices · 16 citations
Computer Science · #Machine Learning and Data Classification
- Bayesian Nonparametric Federated Learning of Neural Networks
2019/05/28 by Mikhail Yurochkin, Yurochkin, Mikhail, Mayank Agarwal +9 · 29 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Statistical Methods and Inference
- Asymmetry in Low-Rank Adapters of Foundation Models
2024/02/26 by Jiacheng Zhu, Zhu, Jiacheng, Kristjan Greenewald +15 · 15 citations
Engineering · Environmental Science · #FOS: Computer and information sciences #Geotechnical and Geomechanical Engineering #Landslides and related hazards #Machine Learning (cs.LG)
- Convergence of Smoothed Empirical Measures with Applications to Entropy\n Estimation
2019/05/30 by Ziv Goldfeld, Goldfeld, Ziv, Kristjan Greenewald +5 · 8 citations
Computer Science · Physics and Astronomy · Engineering · #Adversarial Robustness in Machine Learning #Statistical Mechanics and Entropy #Sparse and Compressive Sensing Techniques
- Identifiability Guarantees for Causal Disentanglement from Soft Interventions
2023/07/12 by Jiaqi Zhang, Zhang, Jiaqi, Chandler Squires +8 · 13 citations
Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #FOS: Mathematics #Gene expression and cancer classification #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
2019/09/08 by Peng Liao, Kristjan Greenewald, Liao, Peng +5 · 7 citations
Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Green IT and Sustainability #Smart Grid Energy Management
- Thermometer: Towards Universal Calibration for Large Language Models
2024/02/20 by Maohao Shen, Shen, Maohao, Subhro Das +9 · 8 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Active Structure Learning of Causal DAGs via Directed Clique Tree
2020/11/01 by Chandler Squires, Sara Magliacane, Squires, Chandler +8 · 5 citations
Computer Science · #Machine Learning and Algorithms #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks
- Estimating Information Flow in Deep Neural Networks
2018/10/12 by Ziv Goldfeld, Goldfeld, Ziv, E. van den Berg +11 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
- Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
2022/02/03 by Tal Shnitzer, Mikhail Yurochkin, Shnitzer, Tal +5 · 2 citations
Mathematics · Computer Science · #Morphological variations and asymmetry #AI in cancer detection #Digital Imaging for Blood Diseases
- Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
2024/06/17 by Rickard Brüel‐Gabrielsson, Brüel-Gabrielsson, Rickard, Jiacheng Zhu +11 · 3 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Distributed #FOS: Computer and information sciences #IoT Networks and Protocols #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Parallel #Underwater Vehicles and Communication Systems #and Cluster Computing (cs.DC)
- Distributional Preference Alignment of LLMs via Optimal Transport
2024/06/09 by Igor Melnyk, Melnyk, Igor, Youssef Mroueh +15 · 3 citations
Engineering · #Advanced Manufacturing and Logistics Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Packing Problems #Vehicle Routing Optimization Methods
- Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
2025/05/28 by Youssef Mroueh, Nicolas Dupuis, Mroueh, Youssef +15 · 8 citations
Psychology · #FOS: Computer and information sciences #Human Resource Development and Performance Evaluation #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
2017/11/10 by Kristjan Greenewald, Greenewald, Kristjan, Seyoung Park +5 · 1 citation
Mathematics · Neuroscience · #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Methodology (stat.ME) #Morphological variations and asymmetry #Statistical and numerical algorithms
- Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
2024/06/10 by Gabriel Rioux, Rioux, Gabriel, Apoorva Nitsure +7 · 2 citations
Economics, Econometrics and Finance · #Economic theories and models #European Monetary and Fiscal Policies #FOS: Computer and information sciences #FOS: Mathematics #Game Theory and Voting Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Measuring Generalization with Optimal Transport
2021/06/07 by Ching-Yao Chuang, Chuang, Ching-Yao, Youssef Mroueh +7 · 1 citation
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection
2025/02/20 by Yihao Xue, Kristjan Greenewald, Xue, Yihao +5 · 2 citations
Neuroscience · #Hallucinations in medical conditions
- Post-processing Private Synthetic Data for Improving Utility on Selected Measures
2023/05/24 by Hao Wang, Shivchander Sudalairaj, Wang, Hao +7 · 1 citation
Computer Science · Engineering · #Privacy-Preserving Technologies in Data #Advanced Data Storage Technologies #Traffic Prediction and Management Techniques
- Risk Aware Benchmarking of Large Language Models
2023/10/11 by Apoorva Nitsure, Nitsure, Apoorva, Youssef Mroueh +15 · 1 citation
Computer Science · Decision Sciences · Mathematics · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Risk Management (q-fin.RM) #Risk and Portfolio Optimization #Statistical Methods and Inference #Statistics Theory (math.ST)
- Know What You Don't Know: Uncertainty Calibration of Process Reward Models
2025/06/11 by Young‐Jin Park, Kristjan Greenewald, Park, Young-Jin +6 · 3 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 in Healthcare #Topic Modeling
- Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
2024/06/11 by Anming Gu, Gu, Anming, Edward Chien +3 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Target Tracking and Data Fusion in Sensor Networks
- BreGMN: scaled-Bregman Generative Modeling Networks
2019/06/01 by Akash Srivastava, Kristjan Greenewald, Srivastava, Akash +3 · 1 citation
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)