Shakkottai, Sanjay

1. Exploiting Shared Representations for Personalized Federated Learning
   2021/02/14 by Liam Collins, Collins, Liam, Hamed Hassani +5 · 33 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Privacy-Preserving Technologies in Data #Advanced Neural Network Applications
2. Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations
   2024/10/14 by Litu Rout, Yujia Chen, Rout, Litu +9 · 47 citations
   Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
3. Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
   2023/07/02 by Litu Rout, Negin Raoof, Rout, Litu +9 · 24 citations
   Computer Science · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical methods in inverse problems
4. RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control
   2024/05/27 by Rout, Litu, Chen, Yujia, Ruiz, Nataniel +4 · 1 voice · 10 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. InfoNCE Loss Provably Learns Cluster-Preserving Representations
   2023/02/15 by Advait Parulekar, Liam Collins, Parulekar, Advait +6 · 10 citations
   Computer Science · #AI in cancer detection #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG)
6. Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion
   2023/12/01 by Litu Rout, Rout, Litu, Yujia Chen +9 · 11 citations
   Mathematics · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical methods in inverse problems #Radiomics and Machine Learning in Medical Imaging #Statistical Methods and Inference
7. The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance
   2022/02/11 by Matthew Faw, Faw, Matthew, Isidoros Tziotis +9 · 6 citations
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques
8. Blocking Bandits
   2019/07/27 by Basu, Soumya, Sen, Rajat, Sanghavi, Sujay +1 · 4 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
   2022/05/27 by Collins, Liam, Hassani, Hamed, Mokhtari, Aryan +1 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
10. Model-Powered Conditional Independence Test
    2017/09/18 by Rajat Sen, Ananda Theertha Suresh, Sen, Rajat +6 · 3 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
11. In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
    2024/02/18 by Liam Collins, Advait Parulekar, Collins, Liam +7 · 7 citations
    Computer Science · Neuroscience · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural dynamics and brain function
12. The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
    2020/01/15 by Ronshee Chawla, Chawla, Ronshee, Abishek Sankararaman +5 · 3 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Optimization and Search Problems
13. Adaptive TTL-Based Caching for Content Delivery
    2017/04/14 by Basu, Soumya, Sundarrajan, Aditya, Ghaderi, Javad +2 · 2 citations
    #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI)
14. Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks
    2017/12/14 by Anand, Arjun, de Veciana, Gustavo, Shakkottai, Sanjay · 2 citations
    #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI)
15. A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants
    2021/02/02 by Zaiwei Chen, Chen, Zaiwei, Siva Theja Maguluri +4 · 3 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Adaptive Dynamic Programming Control
16. Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
    2021/06/24 by Zaiwei Chen, Siva Theja Maguluri, Chen, Zaiwei +4 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques
17. Beyond Uniform Smoothness: A Stopped Analysis of Adaptive SGD
    2023/02/13 by Faw, Matthew, Rout, Litu, Caramanis, Constantine +1 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
18. Greedy Learning of Markov Network Structure
    2012/02/08 by Netrapalli, Praneeth, Banerjee, Siddhartha, Sanghavi, Sujay +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (stat.ML)
19. A Theoretical Justification for Image Inpainting using Denoising Diffusion Probabilistic Models
    2023/02/02 by Litu Rout, Advait Parulekar, Rout, Litu +5 · 2 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Image Processing Techniques #Image and Signal Denoising Methods
20. Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
    2023/07/13 by Liam Collins, Collins, Liam, Hamed Hassani +7 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning
21. Scheduling Storms and Streams in the Cloud
    2015/02/20 by Javad Ghaderi, Ghaderi, Javad, Sanjay Shakkottai +3 · 1 citation
    Computer Science · Physics and Astronomy · #Caching and Content Delivery #Complex Network Analysis Techniques #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Networking and Internet Architecture (cs.NI) #Optimization and Control (math.OC) #Optimization and Search Problems #Parallel #and Cluster Computing (cs.DC)
22. Social Learning in Multi Agent Multi Armed Bandits
    2019/10/04 by Sankararaman, Abishek, Ganesh, Ayalvadi, Shakkottai, Sanjay · 1 citation
    #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Networking and Internet Architecture (cs.NI) #Parallel #Probability (math.PR) #Social and Information Networks (cs.SI) #and Cluster Computing (cs.DC)
23. Combinatorial Blocking Bandits with Stochastic Delays
    2021/05/22 by Atsidakou, Alexia, Papadigenopoulos, Orestis, Basu, Soumya +2 · 1 citation
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG)
24. MAML and ANIL Provably Learn Representations
    2022/02/07 by Liam Collins, Collins, Liam, Aryan Mokhtari +5 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning and Data Classification
25. Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret
    2022/05/29 by Orestis Papadigenopoulos, Constantine Caramanis, Papadigenopoulos, Orestis +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Age of Information Optimization #Auction Theory and Applications #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG)
26. Constrained Posterior Sampling: Time Series Generation with Hard Constraints
    2024/10/16 by Sai Shankar Narasimhan, Shubhankar Agarwal, Narasimhan, Sai Shankar +7 · 2 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Time Series Analysis and Forecasting
27. Applications of Common Entropy for Causal Inference
    2018/07/26 by Murat Kocaoglu, Sanjay Shakkottai, Kocaoglu, Murat +7 · 1 citation
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
28. Anchored Diffusion Language Model
    2025/05/24 by Rout, Litu, Caramanis, Constantine, Shakkottai, Sanjay · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)