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Kevin Tian

  1. ReSQueing Parallel and Private Stochastic Convex Optimization
    2023/01/01 by Yair Carmon, Carmon, Yair, Arun Jambulapati +11 · 4 citations
    Computer Science · Engineering · Mathematics · #Cryptography and Security (cs.CR) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  2. Testing Calibration in Nearly-Linear Time
    2024/02/20 by Lunjia Hu, Hu, Lunjia, Jambulapati, Arun +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
  3. Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions
    2024/06/04 by Hilal Asi, Asi, Hilal, Daogao Liu +3 · 3 citations
    Decision Sciences · Economics, Econometrics and Finance · Computer Science · #Risk and Portfolio Optimization #Stochastic processes and financial applications #Stochastic Gradient Optimization Techniques
  4. Matrix Completion in Almost-Verification Time
    2023/08/07 by Jonathan A. Kelner, Kelner, Jonathan A., Jerry Li +7 · 2 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Blind Source Separation Techniques
  5. Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization
    2024/06/11 by Arun Jambulapati, Jambulapati, Arun, Aaron Sidford +3 · 3 citations
    Computer Science · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Graph Theory and Algorithms #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Optimization and Search Problems #Stochastic Gradient Optimization Techniques
  6. Coordinate Methods for Matrix Games
    2020/09/17 by Yair Carmon, Yujia Jin, Carmon, Yair +5 · 2 citations
    Computer Science · Decision Sciences · Mathematics · #Stochastic Gradient Optimization Techniques #Advanced Bandit Algorithms Research #Markov Chains and Monte Carlo Methods
  7. Semi-Random Sparse Recovery in Nearly-Linear Time
    2022/03/08 by Jonathan A. Kelner, Kelner, Jonathan A., Jerry Li +7 · 1 citation
    Computer Science · Engineering · Medicine · #Advanced MRI Techniques and Applications #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  8. Black-Box k-to-1-PCA Reductions: Theory and Applications
    2024/03/06 by Arun Jambulapati, Jambulapati, Arun, Syamantak Kumar +9 · 2 citations
    Computer Science · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Numerical Analysis (math.NA) #Rough Sets and Fuzzy Logic
  9. Omnipredicting Single-Index Models with Multi-Index Models
    2024/11/20 by Lunjia Hu, Hu, Lunjia, Kevin Tian +2 · 2 citations
    Computer Science · #Bayesian Modeling and Causal Inference
  10. Private Convex Optimization in General Norms
    2022/07/18 by Sivakanth Gopi, Gopi, Sivakanth, Yin Tat Lee +7 · 1 citation
    Computer Science · Medicine · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Pharmacological Effects and Toxicity Studies #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  11. Eulerian Graph Sparsification by Effective Resistance Decomposition
    2024/08/19 by Arun Jambulapati, Sushant Sachdeva, Jambulapati, Arun +7 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Graph Theory and Algorithms
  12. The Tractability Landscape of Sampling with Inexact Scores
    2026/07/21 by Anming Gu, Kevin Tian, Hubert Yang +1
    #stat.ML #cs.LG #math.ST #stat.TH
  13. Optimal Recalibration of an Online Predictor
    2026/07/22 by Lunjia Hu, Kevin Tian, Chutong Yang
    #stat.ML #cs.DS #cs.LG
  14. Total Variation Distance Estimation in Autoregressive Models
    2026/07/21 by Eric Price, Kevin Tian, Zhiyang Xun +1
    #cs.LG #cs.DS #stat.ME #stat.ML