Sanjay Shakkottai

1. Exploiting Shared Representations for Personalized Federated Learning
   2021/02/14 by Liam Collins, Hamed Hassani, Collins, Liam +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, Rout, Litu, Negin Raoof +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. InfoNCE Loss Provably Learns Cluster-Preserving Representations
   2023/02/15 by Advait Parulekar, Parulekar, Advait, Liam Collins +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)
5. Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion
   2023/12/01 by Litu Rout, Yujia Chen, Rout, Litu +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
6. The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance
   2022/02/11 by Matthew Faw, Isidoros Tziotis, Faw, Matthew +9 · 6 citations
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques
7. Model-Powered Conditional Independence Test
   2017/09/18 by Rajat Sen, Sen, Rajat, Ananda Theertha Suresh +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
8. In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
   2024/02/18 by Liam Collins, Collins, Liam, Advait Parulekar +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
9. 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
10. A Lyapunov Theory for Finite-Sample Guarantees of Markovian Stochastic Approximation
    2023/10/06 by Zaiwei Chen, Siva Theja Maguluri, Siva T. Maguluri +2 · 5 citations
    Computer Science · Decision Sciences · #Stochastic Gradient Optimization Techniques #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research
11. On Throughput Optimality With Delayed Network-State Information
    2011/08/01 by Lei Ying, Sanjay Shakkottai · 4 citations
    Engineering · Computer Science · #Advanced Wireless Network Optimization #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding
12. A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants
    2021/02/02 by Zaiwei Chen, Siva Theja Maguluri, Chen, Zaiwei +4 · 3 citations
    Computer Science · Decision Sciences · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Adaptive Dynamic Programming Control
13. 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
14. 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
15. Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks
    2023/07/13 by Liam Collins, Hamed Hassani, Collins, Liam +7 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques #Adversarial Robustness in Machine Learning
16. 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)
17. 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
18. Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret
    2022/05/29 by Orestis Papadigenopoulos, Papadigenopoulos, Orestis, Constantine Caramanis +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)
19. 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
20. Applications of Common Entropy for Causal Inference
    2018/07/26 by Murat Kocaoglu, Kocaoglu, Murat, Sanjay Shakkottai +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