Lunjia Hu

1. Towards Understanding Learning Representations: To What Extent Do\n Different Neural Networks Learn the Same Representation
   2018/10/27 by Liwei Wang, Lunjia Hu, Wang, Liwei +11 · 7 citations
   Computer Science · #Neural Networks and Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification
2. Loss Minimization Yields Multicalibration for Large Neural Networks
   2023/04/19 by Jarosław Błasiok, Parikshit Gopalan, Błasiok, Jarosław +7 · 1 voice · 5 citations
   #cs.LG #cs.AI #stat.ML
3. When Does Optimizing a Proper Loss Yield Calibration?
   2023/05/30 by Jarosław Błasiok, Błasiok, Jarosław, Parikshit Gopalan +5 · 6 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Statistics Theory (math.ST)
4. Testing Calibration in Nearly-Linear Time
   2024/02/20 by Lunjia Hu, Hu, Lunjia, Kevin Tian +4 · 5 citations
   Computer Science · Decision Sciences · Engineering · #Computation (stat.CO) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Measurement and Uncertainty Evaluation #VLSI and Analog Circuit Testing
5. Near-Optimal Explainable k-Means for All Dimensions
   2021/06/29 by Moses Charikar, Lunjia Hu, Charikar, Moses +1 · 2 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Computational Geometry (cs.CG) #Data Structures and Algorithms (cs.DS) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
6. Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes
   2017/02/18 by Lunjia Hu, Hu, Lunjia, Ruihan Wu +5 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Search Problems #semigroups and automata theory
7. Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability
   2022/03/09 by Lunjia Hu, Hu, Lunjia, Charlotte Peale +3 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference
8. Omnipredicting Single-Index Models with Multi-Index Models
   2024/11/20 by Lunjia Hu, Kevin Tian, Hu, Lunjia +2 · 2 citations
   Computer Science · #Bayesian Modeling and Causal Inference
9. Optimal Recalibration of an Online Predictor
   2026/07/22 by Lunjia Hu, Kevin Tian, Chutong Yang
   #stat.ML #cs.DS #cs.LG