S. Mahadevan

Most-cited papers

Heterogeneous Domain Adaptation Using Manifold Alignment
Chang Wang, S. Mahadevan
2011International Joint Conference on Artificial Intelligence459 citations
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Generative Multi-Adversarial Networks
Ishan Durugkar, Ian Gemp, S. Mahadevan
2016International Conference on Learning Representations367 citations
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Manifold alignment using Procrustes analysis
Chang Wang, S. Mahadevan
2008International Conference on Machine Learning310 citations
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Manifold Alignment without Correspondence
Chang Wang, S. Mahadevan
2009International Joint Conference on Artificial Intelligence210 citations
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Finite-Sample Analysis of Proximal Gradient TD Algorithms
Bo Liu, Ji Liu, M. Ghavamzadeh, S. Mahadevan +1 more
2015Conference on Uncertainty in Artificial Intelligence164 citations
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Repairing Disengagement With Non-Invasive Interventions
I. Arroyo, Kimberly Ferguson, Jeffrey Johns, Toby Dragon +5 more
2007International Conference on Artificial Intelligence in Education150 citations
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A study of machine learning regression methods for major elemental analysis of rocks using laser-induced breakdown spectroscopy
T. Boucher, Marie V. Ozanne, M. Carmosino, M. D. Dyar +4 more
2015145 citations
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A General Framework for Manifold Alignment
Chang Wang, S. Mahadevan
2009AAAI Fall Symposium: Manifold Learning and Its Applications111 citations
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Machine learning tools formineral recognition and classification from Raman spectroscopy
C. Carey, T. Boucher, S. Mahadevan, P. Bartholomew +1 more
2014103 citations
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Optimizing for the Future in Non-Stationary MDPs
Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White +2 more
2020International Conference on Machine Learning77 citations
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Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces
S. Mahadevan, Bo Liu, P. Thomas, Will Dabney +4 more
2014arXiv.org74 citations
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Learning Representation and Control in Markov Decision Processes: New Frontiers
S. Mahadevan
2009Found. Trends Mach. Learn.66 citations Open access
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Regularized Off-Policy TD-Learning
Bo Liu, S. Mahadevan, Ji Liu
2012Neural Information Processing Systems65 citations
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Global Convergence to the Equilibrium of GANs using Variational Inequalities
Ian Gemp, S. Mahadevan
2018arXiv.org54 citations
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An Over-parameterized Exponential Regression
Ye-Qi Gao, S. Mahadevan, Zhao Song
2023arXiv.org45 citations Open access
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Comparison of univariate and multivariate models for prediction of major and minor elements from laser-induced breakdown spectra with and without masking
M. D. Dyar, C. Fassett, S. Giguere, K. Lepore +4 more
201645 citations Open access
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Constructing basis functions from directed graphs for value function approximation
Jeffrey Johns, S. Mahadevan
2007International Conference on Machine Learning42 citations
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Sparse Q-learning with Mirror Descent
S. Mahadevan, Bo Liu
2012Conference on Uncertainty in Artificial Intelligence41 citations
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Manifold Alignment
Chang Wang, P. Krafft, S. Mahadevan
201141 citations
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Manifold Warping: Manifold Alignment over Time
H. Vu, C. Carey, S. Mahadevan
2012AAAI Conference on Artificial Intelligence39 citations Open access
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Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension
Yichuan Deng, S. Mahadevan, Zhao Song
2023arXiv.org38 citations Open access
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Efficient Hyper-parameter Optimization for NLP Applications
Lidan Wang, Min-Wei Feng, Bowen Zhou, Bing Xiang +1 more
2015Conference on Empirical Methods in Natural Language Processing37 citations Open access
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Imagination Machines: A New Challenge for Artificial Intelligence
S. Mahadevan
2018AAAI Conference on Artificial Intelligence36 citations Open access
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Multiple Agents Moving Target Search
Chang Wang, S. Mahadevan
2009International Joint Conference on Artificial Intelligence36 citations
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Hierarchical Average Reward Reinforcement Learning
M. Ghavamzadeh, S. Mahadevan
2007Journal of machine learning research32 citations Open access
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Deep Reinforcement Learning With Macro-Actions
Ishan Durugkar, C. Rosenbaum, S. Dernbach, S. Mahadevan
2016arXiv.org31 citations
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A Unified Framework for Domain Adaptation using Metric Learning on Manifolds
S. Mahadevan, Bamdev Mishra, Shalini Ghosh
2018ECML/PKDD29 citations Open access
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A GPU-Based Approximate SVD Algorithm
Blake Foster, S. Mahadevan, Rui Wang
2011Parallel Processing and Applied Mathematics28 citations
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Representation Discovery using Harmonic Analysis
S. Mahadevan
2008Representation Discovery using Harmonic Analysis26 citations
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Proximal methods for calibration transfer
T. Boucher, M. Dyar, S. Mahadevan
201725 citations Open access
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Basis Construction from Power Series Expansions of Value Functions
S. Mahadevan, Bo Liu
2010Neural Information Processing Systems25 citations
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Learning state-action basis functions for hierarchical MDPs
Sarah Osentoski, S. Mahadevan
2007International Conference on Machine Learning25 citations
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Proximal Gradient Temporal Difference Learning Algorithms
Bo Liu, Ji Liu, M. Ghavamzadeh, S. Mahadevan +1 more
2016International Joint Conference on Artificial Intelligence23 citations
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Projected Natural Actor-Critic
P. Thomas, Will Dabney, S. Giguere, S. Mahadevan
2013Neural Information Processing Systems23 citations
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Personalizing with Human Cognitive Biases
Georgios Theocharous, Jennifer Healey, S. Mahadevan, Michele A. Saad
2019User Modeling, Adaptation, and Personalization20 citations
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Zero-th Order Algorithm for Softmax Attention Optimization
Yichuan Deng, Zhihang Li, S. Mahadevan, Zhao Song
2023BigData Congress [Services Society]19 citations Open access
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A Fully Customized Baseline Removal Framework for Spectroscopic Applications
S. Giguere, T. Boucher, C. Carey, S. Mahadevan +1 more
2017Applied Spectroscopy19 citations
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Manifold preprocessing for laser‐induced breakdown spectroscopy under Mars conditions
T. Boucher, C. Carey, M. D. Dyar, S. Mahadevan +2 more
201519 citations
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Aligning Mixed Manifolds
T. Boucher, C. Carey, S. Mahadevan, M. Dyar
2015AAAI Conference on Artificial Intelligence19 citations Open access
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Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity
Bo Liu, Ian Gemp, M. Ghavamzadeh, Ji Liu +2 more
2018Journal of Artificial Intelligence Research17 citations Open access
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Hybrid least-squares algorithms for approximate policy evaluation
Jeffrey Johns, Marek Petrik, S. Mahadevan
2009Machine-mediated learning17 citations Open access
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Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization
Jeffrey Johns, S. Mahadevan, Chang Wang
2007AAAI Conference on Artificial Intelligence16 citations
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A geometric framework for transfer learning using manifold alignment
S. Mahadevan, Chang Wang
201015 citations
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Fast Spectral Learning using Lanczos Eigenspace Projections
S. Mahadevan
2008AAAI Conference on Artificial Intelligence15 citations
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Basis function construction for hierarchical reinforcement learning
Sarah Osentoski, S. Mahadevan
2010Adaptive Agents and Multi-Agent Systems14 citations
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Basis Adaptation for Sparse Nonlinear Reinforcement Learning
S. Mahadevan, S. Giguere, Nicholas Jacek
2013AAAI Conference on Artificial Intelligence11 citations Open access
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Universal Causality
S. Mahadevan
2023Entropy10 citations Open access
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Multiscale Manifold Learning
Chang Wang, S. Mahadevan
2013AAAI Conference on Artificial Intelligence9 citations Open access
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Sparse Approximate Policy Evaluation using Graph-based Basis Functions
Jeffrey Johns, S. Mahadevan
20099 citations
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Universal Decision Models
S. Mahadevan
2021arXiv.org8 citations
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