Pananjady, Ashwin
- Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
2018/12/20 by Malik, Dhruv, Pananjady, Ashwin, Bhatia, Kush +3 · 7 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
2017/06/18 by Dong Yin, Yin, Dong, Ashwin Pananjady +11 · 1 voice · 2 citations
Computer Science · Mathematics · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC) #cs.DC #cs.LG
- Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
2021/12/23 by Wenlong Mou, Mou, Wenlong, Ashwin Pananjady +5 · 5 citations
Mathematics · #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) #Probability (math.PR) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis
2020/03/16 by Khamaru, Koulik, Pananjady, Ashwin, Ruan, Feng +2 · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Existence of Stein Kernels under a Spectral Gap, and Discrepancy Bound
2017/03/22 by Thomas A. Courtade, Max Fathi, Courtade, Thomas A. +3 · 4 citations
Mathematics · #Spectral Theory in Mathematical Physics #advanced mathematical theories #Mathematical Approximation and Integration
- A Family of Bayesian Cramér-Rao Bounds, and Consequences for Log-Concave Priors
2019/02/22 by Aras, Efe, Lee, Kuan-Yun, Pananjady, Ashwin +1 · 2 citations
#FOS: Computer and information sciences #Information Theory (cs.IT)
- On the Complexity of Making a Distinguished Vertex Minimum or Maximum Degree by Vertex Deletion
2013/12/13 by Mishra, Sounaka, Pananjady, Ashwin, Devi, N Safina · 1 citation
#Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Optimization and Control (math.OC)
- Accelerated and instance-optimal policy evaluation with linear function approximation
2021/12/24 by Tianjiao Li, Li, Tianjiao, Guanghui Lan +3 · 2 citations
Computer Science · #Age of Information Optimization #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- Denoising Linear Models with Permuted Data
2017/04/24 by Pananjady, Ashwin, Wainwright, Martin J., Courtade, Thomas A. · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning
2023/09/08 by Xu, Austin, McRae, Andrew D., Wang, Jingyan +2 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Breaking the 1/√(n) Barrier: Faster Rates for Permutation-based Models in Polynomial Time
2018/02/27 by Cheng Mao, Ashwin Pananjady, Mao, Cheng +3 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Imbalanced Data Classification Techniques #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
- Towards Optimal Estimation of Bivariate Isotonic Matrices with Unknown Permutations
2018/06/25 by Cheng Mao, Ashwin Pananjady, Mao, Cheng +3 · 1 citation
Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
- Isotonic regression with unknown permutations: Statistics, computation, and adaptation
2020/09/05 by Pananjady, Ashwin, Samworth, Richard J. · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- Preference learning along multiple criteria: A game-theoretic perspective
2021/05/05 by Bhatia, Kush, Pananjady, Ashwin, Bartlett, Peter L. +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Sharp global convergence guarantees for iterative nonconvex optimization: A Gaussian process perspective
2021/09/20 by Chandrasekher, Kabir Aladin, Pananjady, Ashwin, Thrampoulidis, Christos · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Probability (math.PR) #Statistics Theory (math.ST)
- Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
2021/06/28 by Guo, Wenshuo, Agrawal, Kumar Krishna, Grover, Aditya +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
- Modeling and Correcting Bias in Sequential Evaluation
2022/05/03 by Jingyan Wang, Ashwin Pananjady, Wang, Jingyan +1 · 1 citation
Computer Science · Economics, Econometrics and Finance · Social Sciences · #Computer Science and Game Theory (cs.GT) #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Game Theory and Voting Systems #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing
- Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons
2017/07/19 by Ashwin Pananjady, Pananjady, Ashwin, Cheng Mao +7 · 3 citations
Decision Sciences · Mathematics · #Optimal Experimental Design Methods #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
- Accurate, provable, and fast nonlinear tomographic reconstruction: A variational inequality approach
2025/03/13 by Lou, Mengqi, Verchand, Kabir Aladin, Fridovich-Keil, Sara +1 · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #FOS: Physical sciences #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Physics (physics.med-ph) #Optimization and Control (math.OC) #electronic engineering #information engineering