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Thekumparampil, Kiran Koshy

  1. Efficient Algorithms for Smooth Minimax Optimization
    2019/07/02 by Kiran Koshy Thekumparampil, Thekumparampil, Kiran Koshy, Prateek Jain +5 · 7 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Image and Signal Denoising Methods #Advanced Image Processing Techniques
  2. Robustness of Conditional GANs to Noisy Labels
    2018/11/08 by Thekumparampil, Kiran Koshy, Khetan, Ashish, Lin, Zinan +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. DPZero: Private Fine-Tuning of Language Models without Backpropagation
    2023/10/14 by Liang Zhang, Zhang, Liang, Li, Bingcong +6 · 6 citations
    Computer Science · #Topic Modeling #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques
  4. Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization
    2022/01/19 by Thekumparampil, Kiran Koshy, He, Niao, Oh, Sewoong · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  5. Sample Efficient Linear Meta-Learning by Alternating Minimization
    2021/05/18 by Thekumparampil, Kiran Koshy, Jain, Prateek, Netrapalli, Praneeth +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  6. Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
    2024/01/20 by Xun Tang, Michael Shavlovsky, Tang, Xun +11 · 4 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Advanced Neural Network Applications
  7. Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method
    2020/10/05 by Kiran Koshy Thekumparampil, Prateek Jain, Thekumparampil, Kiran Koshy +5 · 2 citations
    Computer Science · Engineering · Mathematics · #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 #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
  8. Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization
    2022/06/01 by Liang Zhang, Kiran Koshy Thekumparampil, Zhang, Liang +5 · 1 citation
    Computer Science · #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) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  9. A Sinkhorn-type Algorithm for Constrained Optimal Transport
    2024/03/08 by Xun Tang, Tang, Xun, Holakou Rahmanian +9 · 2 citations
    Social Sciences · #Transportation Planning and Optimization
  10. Zeroth-Order Optimization Finds Flat Minima
    2025/06/05 by Liang Zhang, Zhang, Liang, Bin Li +9 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  11. Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
    2023/07/31 by Hou, Charlie, Thekumparampil, Kiran Koshy, Shavlovsky, Michael +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Robust conditional GANs under missing or uncertain labels
    2019/06/09 by Kiran Koshy Thekumparampil, Sewoong Oh, Thekumparampil, Kiran Koshy +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing
  13. Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe
    2024/12/27 by Kiran Koshy Thekumparampil, Gaurush Hiranandani, Thekumparampil, Kiran Koshy +7 · 1 citation
    Computer Science · Decision Sciences · #Face and Expression Recognition #Multi-Criteria Decision Making #Text and Document Classification Technologies