Jikai Jin

1. Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
   2021/10/24 by Jikai Jin, Bohang Zhang, Jin, Jikai +5 · 2 citations
   Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
2. Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
   2023/11/21 by Jikai Jin, Jin, Jikai, Vasilis Syrgkanis +1 · 3 citations
   Computer Science · #AI-based Problem Solving and Planning #Applications (stat.AP) #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
3. Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
   2024/02/22 by Jikai Jin, Jin, Jikai, Vasilis Syrgkanis +1 · 2 citations
   Computer Science · Engineering · #Control Systems and Identification #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Statistics Theory (math.ST)
4. Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
   2022/05/27 by Binghui Li, Jikai Jin, Li, Binghui +7 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques