Sridhar Mahadevan

149 papers A* 43A 13B 4Misc 2Journal 61Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CSQL: Mapping Documents into Causal Databases. CoRR Sridhar Mahadevan
2026	J	`jnl`	Categorical Belief Propagation: Sheaf-Theoretic Inference via Descent and Holonomy. CoRR Enrique ter Horst, Sridhar Mahadevan, Juan Diego Zambrano
2026	A*	`conf`	Rethinking AI: From Functions to Functors. AAAI Sridhar Mahadevan
2025	J	`jnl`	A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models. CoRR Sridhar Mahadevan
2025	J	`jnl`	Consciousness as a Functor. CoRR Sridhar Mahadevan
2025	J	`jnl`	Decentralized Causal Discovery using Judo Calculus. CoRR Sridhar Mahadevan
2025	J	`jnl`	Higher Algebraic K-Theory of Causality. Entropy Sridhar Mahadevan
2025	J	`jnl`	Intuitionistic j-Do-Calculus in Topos Causal Models. CoRR Sridhar Mahadevan
2025	J	`jnl`	Large Causal Models from Large Language Models. CoRR Sridhar Mahadevan
2025	J	`jnl`	Topos Causal Models. CoRR Sridhar Mahadevan
2025	J	`jnl`	Topos Theory for Generative AI and LLMs. CoRR Sridhar Mahadevan
2025	J	`jnl`	Universal Reinforcement Learning in Coalgebras: Asynchronous Stochastic Computation via Conduction. CoRR Sridhar Mahadevan
2024	J	`jnl`	GAIA: Categorical Foundations of Generative AI. CoRR Sridhar Mahadevan
2024	J	`jnl`	Universal Imitation Games. CoRR Sridhar Mahadevan
2024	B	`conf`	Zero-th Order Algorithm for Softmax Attention Optimization. IEEE Big Data Yichuan Deng, Zhihang Li, Sridhar Mahadevan, Zhao Song
2023	J	`jnl`	An Over-parameterized Exponential Regression. CoRR Yeqi Gao, Sridhar Mahadevan, Zhao Song
2023	A	`conf`	Privacy Aware Experiments without Cookies. WSDM Shiv Shankar, Ritwik Sinha, Saayan Mitra, Viswanathan (Vishy) Swaminathan, Sridhar Mahadevan, Moumita Sinha
2023	J	`jnl`	Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension. CoRR Yichuan Deng, Sridhar Mahadevan, Zhao Song
2023	A*	`conf`	Smoothed Online Combinatorial Optimization Using Imperfect Predictions. AAAI Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan
2023	J	`jnl`	Universal Causality. Entropy Sridhar Mahadevan
2023	J	`jnl`	Zero-th Order Algorithm for Softmax Attention Optimization. CoRR Yichuan Deng, Zhihang Li, Sridhar Mahadevan, Zhao Song
2022	J	`jnl`	A Layered Architecture for Universal Causality. CoRR Sridhar Mahadevan
2022	J	`jnl`	Categoroids: Universal Conditional Independence. CoRR Sridhar Mahadevan
2022	A	`conf`	Generating and Controlling Diversity in Image Search. WACV Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell
2022	J	`jnl`	On The Universality of Diagrams for Causal Inference and The Causal Reproducing Property. CoRR Sridhar Mahadevan
2022	J	`jnl`	Privacy Aware Experiments without Cookies. CoRR Shiv Shankar, Ritwik Sinha, Saayan Mitra, Moumita Sinha, Viswanathan Swaminathan, Sridhar Mahadevan
2022	J	`jnl`	Smoothed Online Combinatorial Optimization Using Imperfect Predictions. CoRR Kai Wang, Zhao Song, Georgios Theocharous, Sridhar Mahadevan
2022	J	`jnl`	Unifying Causal Inference and Reinforcement Learning using Higher-Order Category Theory. CoRR Sridhar Mahadevan
2021	J	`jnl`	Asymptotic Causal Inference. CoRR Sridhar Mahadevan
2021	J	`jnl`	Causal Homotopy. CoRR Sridhar Mahadevan
2021	J	`jnl`	Causal Inference in Network Economics. CoRR Sridhar Mahadevan
2021	J	`jnl`	Multiscale Manifold Warping. CoRR Sridhar Mahadevan, Anup Rao, Georgios Theocharous, Jennifer Healey
2021	J	`jnl`	Universal Decision Models. CoRR Sridhar Mahadevan
2020	J	`jnl`	Finite-Sample Analysis of GTD Algorithms. CoRR Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2020	A*	`conf`	Optimizing for the Future in Non-Stationary MDPs. ICML Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas
2020	J	`jnl`	Optimizing for the Future in Non-Stationary MDPs. CoRR Yash Chandak, Georgios Theocharous, Shiv Shankar, Martha White, Sridhar Mahadevan, Philip S. Thomas
2020	J	`jnl`	Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. CoRR Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
2020	J	`jnl`	Regularized Off-Policy TD-Learning. CoRR Bo Liu, Sridhar Mahadevan, Ji Liu
2019	—	`conf`	Personalizing with Human Cognitive Biases. UMAP (Adjunct Publication) Georgios Theocharous, Jennifer Healey, Sridhar Mahadevan, Michele A. Saad
2018	—	`conf`	A Unified Framework for Domain Adaptation Using Metric Learning on Manifolds. ECML/PKDD (2) Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh
2018	J	`jnl`	A Unified Framework for Domain Adaptation using Metric Learning on Manifolds. CoRR Sridhar Mahadevan, Bamdev Mishra, Shalini Ghosh
2018	J	`jnl`	Global Convergence to the Equilibrium of GANs using Variational Inequalities. CoRR Ian Gemp, Sridhar Mahadevan
2018	A*	`conf`	Imagination Machines: A New Challenge for Artificial Intelligence. AAAI Sridhar Mahadevan
2018	J	`jnl`	Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. J. Artif. Intell. Res. Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
2017	J	`jnl`	A Manifold Approach to Learning Mutually Orthogonal Subspaces. CoRR Stephen Giguere, Francisco Garcia, Sridhar Mahadevan
2017	—	`conf`	Generative Multi-Adversarial Networks. ICLR (Poster) Ishan P. Durugkar, Ian Gemp, Sridhar Mahadevan
2017	J	`jnl`	Online Monotone Games. CoRR Ian Gemp, Sridhar Mahadevan
2016	J	`jnl`	Deep Generative Models for Spectroscopic Analysis on Mars. CoRR Ian Gemp, Ishan P. Durugkar, Mario Parente, Melinda Darby Dyar, Sridhar Mahadevan
2016	J	`jnl`	Deep Reinforcement Learning With Macro-Actions. CoRR Ishan P. Durugkar, Clemens Rosenbaum, Stefan Dernbach, Sridhar Mahadevan
2016	J	`jnl`	Generative Multi-Adversarial Networks. CoRR Ishan P. Durugkar, Ian Gemp, Sridhar Mahadevan
2016	J	`jnl`	Online Monotone Optimization. CoRR Ian Gemp, Sridhar Mahadevan
2016	A*	`conf`	Proximal Gradient Temporal Difference Learning Algorithms. IJCAI Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2015	A*	`conf`	Aligning Mixed Manifolds. AAAI Thomas Boucher, CJ Carey, Sridhar Mahadevan, Melinda Darby Dyar
2015	A*	`conf`	Efficient Hyper-parameter Optimization for NLP Applications. EMNLP Lidan Wang, Minwei Feng, Bowen Zhou, Bing Xiang, Sridhar Mahadevan
2015	A	`conf`	Finite-Sample Analysis of Proximal Gradient TD Algorithms. UAI Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2015	J	`jnl`	Reasoning about Linguistic Regularities in Word Embeddings using Matrix Manifolds. CoRR Sridhar Mahadevan, Sarath Chandar
2015	—	`conf`	Solving Large Sustainable Supply Chain Networks Using Variational Inequalities. AAAI Workshop: Computational Sustainability Ian Gemp, Sridhar Mahadevan, Bo Liu
2014	J	`jnl`	Efficient and Scalable Metadata Management in EB-Scale File Systems. IEEE Trans. Parallel Distributed Syst. Quanqing Xu, Rajesh Vellore Arumugam, Khai Leong Yong, Sridhar Mahadevan
2014	A*	`conf`	Manifold Spanning Graphs. AAAI CJ Carey, Sridhar Mahadevan
2014	—	`conf`	Modeling Context in Cognition Using Variational Inequalities. AAAI Fall Symposia Ian Gemp, Sridhar Mahadevan
2014	J	`jnl`	Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces. CoRR Sridhar Mahadevan, Bo Liu, Philip S. Thomas, William Dabney, Stephen Giguere, Nicholas Jacek, Ian Gemp, Ji Liu
2013	A*	`conf`	Basis Adaptation for Sparse Nonlinear Reinforcement Learning. AAAI Sridhar Mahadevan, Stephen Giguere, Nicholas Jacek
2013	Misc	`conf`	DROP: Facilitating distributed metadata management in EB-scale storage systems. MSST Quanqing Xu, Rajesh Vellore Arumugam, Khai Leong Yong, Sridhar Mahadevan
2013	J	`jnl`	Decision-Theoretic Planning with Concurrent Temporally Extended Actions CoRR Khashayar Rohanimanesh, Sridhar Mahadevan
2013	A*	`conf`	Manifold Alignment Preserving Global Geometry. IJCAI Chang Wang, Sridhar Mahadevan
2013	A*	`conf`	Multiscale Manifold Learning. AAAI Chang Wang, Sridhar Mahadevan
2013	—	`conf`	Projected Natural Actor-Critic. NIPS Philip S. Thomas, William Dabney, Stephen Giguere, Sridhar Mahadevan
2012	A*	`conf`	Manifold Warping: Manifold Alignment over Time. AAAI Hoa Trong Vu, Clifton Carey, Sridhar Mahadevan
2012	—	`conf`	Regularized Off-Policy TD-Learning. NIPS Bo Liu, Sridhar Mahadevan, Ji Liu
2012	J	`jnl`	Representation Policy Iteration CoRR Sridhar Mahadevan
2012	J	`jnl`	Sparse Q-learning with Mirror Descent CoRR Sridhar Mahadevan, Bo Liu
2012	A	`conf`	Sparse Q-learning with Mirror Descent. UAI Sridhar Mahadevan, Bo Liu
2011	—	`conf`	A GPU-Based Approximate SVD Algorithm. PPAM (1) Blake Foster, Sridhar Mahadevan, Rui Wang
2011	A*	`conf`	Heterogeneous Domain Adaptation Using Manifold Alignment. IJCAI Chang Wang, Sridhar Mahadevan
2011	A*	`conf`	Jointly Learning Data-Dependent Label and Locality-Preserving Projections. IJCAI Chang Wang, Sridhar Mahadevan
2010	—	`conf`	Basis Construction from Power Series Expansions of Value Functions. NIPS Sridhar Mahadevan, Bo Liu
2010	A	`conf`	Basis function construction for hierarchical reinforcement learning. AAMAS Sarah Osentoski, Sridhar Mahadevan
2010	A*	`conf`	Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization. AAAI Georgios Theocharous, Sridhar Mahadevan
2010	A*	`conf`	Representation Discovery in Sequential Decision Making. AAAI Sridhar Mahadevan
2009	—	`conf`	A General Framework for Manifold Alignment. AAAI Fall Symposium: Manifold Learning and Its Applications Chang Wang, Sridhar Mahadevan
2009	—	`conf`	Hybrid Least-Squares Algorithms for Approximate Policy Evaluation. ECML/PKDD (1) Jeffrey Johns, Marek Petrik, Sridhar Mahadevan
2009	J	`jnl`	Hybrid least-squares algorithms for approximate policy evaluation. Mach. Learn. Jeffrey Johns, Marek Petrik, Sridhar Mahadevan
2009	J	`jnl`	Learning Representation and Control in Markov Decision Processes: New Frontiers. Found. Trends Mach. Learn. Sridhar Mahadevan
2009	A*	`conf`	Manifold Alignment without Correspondence. IJCAI Chang Wang, Sridhar Mahadevan
2009	A*	`conf`	Multiscale Analysis of Document Corpora Based on Diffusion Models. IJCAI Chang Wang, Sridhar Mahadevan
2009	A	`conf`	Transfer Learning and Representation Discovery in Intelligent Tutoring Systems. AIED Kimberly Ferguson, Beverly Park Woolf, Sridhar Mahadevan
2008	A*	`conf`	Fast Spectral Learning using Lanczos Eigenspace Projections. AAAI Sridhar Mahadevan
2008	A*	`conf`	Manifold alignment using Procrustes analysis. ICML Chang Wang, Sridhar Mahadevan
2008	—	`book`	Representation Discovery using Harmonic Analysis Sridhar Mahadevan
2007	A*	`conf`	Adaptive mesh compression in 3D computer graphics using multiscale manifold learning. ICML Sridhar Mahadevan
2007	A*	`conf`	Compact Spectral Bases for Value Function Approximation Using Kronecker Factorization. AAAI Jeffrey Johns, Sridhar Mahadevan, Chang Wang
2007	A*	`conf`	Constructing basis functions from directed graphs for value function approximation. ICML Jeffrey Johns, Sridhar Mahadevan
2007	J	`jnl`	Hierarchical Average Reward Reinforcement Learning. J. Mach. Learn. Res. Mohammad Ghavamzadeh, Sridhar Mahadevan
2007	A*	`conf`	Learning state-action basis functions for hierarchical MDPs. ICML Sarah Osentoski, Sridhar Mahadevan
2007	A*	`conf`	Learning to Plan Using Harmonic Analysis of Diffusion Models. ICAPS Sridhar Mahadevan, Sarah Osentoski, Jeffrey Johns, Kimberly Ferguson, Chang Wang
2007	J	`jnl`	Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes. J. Mach. Learn. Res. Sridhar Mahadevan, Mauro Maggioni
2007	A	`conf`	Repairing Disengagement With Non-Invasive Interventions. AIED Ivon Arroyo, Kimberly Ferguson, Jeffrey Johns, Toby Dragon, Hasmik Meheranian, Don Fisher, Andrew G. Barto, Sridhar Mahadevan, Beverly Park Woolf
2007	—	`conf`	Representation Discovery in Planning using Harmonic Analysis. AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development Jeffrey Johns, Sarah Osentoski, Sridhar Mahadevan
2006	B	`conf`	Estimating Student Proficiency Using an Item Response Theory Model. Intelligent Tutoring Systems Jeffrey Johns, Sridhar Mahadevan, Beverly Park Woolf
2006	A*	`conf`	Fast direct policy evaluation using multiscale analysis of Markov diffusion processes. ICML Mauro Maggioni, Sridhar Mahadevan
2006	J	`jnl`	Hierarchical multi-agent reinforcement learning. Auton. Agents Multi Agent Syst. Mohammad Ghavamzadeh, Sridhar Mahadevan, Rajbala Makar
2006	B	`conf`	Improving Intelligent Tutoring Systems: Using Expectation Maximization to Learn Student Skill Levels. Intelligent Tutoring Systems Kimberly Ferguson, Ivon Arroyo, Sridhar Mahadevan, Beverly Park Woolf, Andrew G. Barto
2006	A*	`conf`	Learning Representation and Control in Continuous Markov Decision Processes. AAAI Sridhar Mahadevan, Mauro Maggioni, Kimberly Ferguson, Sarah Osentoski
2005	A*	`conf`	A Variational Learning Algorithm for the Abstract Hidden Markov Model. AAAI Jeffrey Johns, Sridhar Mahadevan
2005	A*	`conf`	Coarticulation: an approach for generating concurrent plans in Markov decision processes. ICML Khashayar Rohanimanesh, Sridhar Mahadevan
2005	A*	`conf`	Proto-value functions: developmental reinforcement learning. ICML Sridhar Mahadevan
2005	A	`conf`	Representation Policy Iteration. UAI Sridhar Mahadevan
2005	A*	`conf`	Samuel Meets Amarel: Automating Value Function Approximation Using Global State Space Analysis. AAAI Sridhar Mahadevan
2005	B	`conf`	Switching kalman filters for prediction and tracking in an adaptive meteorological sensing network. SECON Victoria Manfredi, Sridhar Mahadevan, James F. Kurose
2005	—	`conf`	Value Function Approximation with Diffusion Wavelets and Laplacian Eigenfunctions. NIPS Sridhar Mahadevan, Mauro Maggioni
2004	—	`conf`	Coarticulation in Markov Decision Processes. NIPS Khashayar Rohanimanesh, Robert Platt Jr., Sridhar Mahadevan, Roderic A. Grupen
2004	A	`conf`	Learning hierarchical models of activity. IROS Sarah Osentoski, Victoria Manfredi, Sridhar Mahadevan
2004	A	`conf`	Learning to Communicate and Act Using Hierarchical Reinforcement Learning. AAMAS Mohammad Ghavamzadeh, Sridhar Mahadevan
2004	A*	`conf`	Probabilistic Plan Recognition in Multiagent Systems. ICAPS Suchi Saria, Sridhar Mahadevan
2003	A*	`conf`	Hierarchical Policy Gradient Algorithms. ICML Mohammad Ghavamzadeh, Sridhar Mahadevan
2003	J	`jnl`	Recent Advances in Hierarchical Reinforcement Learning. Discret. Event Dyn. Syst. Andrew G. Barto, Sridhar Mahadevan
2003	J	`jnl`	Recent Advances in Hierarchical Reinforcement Learning. Discret. Event Dyn. Syst. Andrew G. Barto, Sridhar Mahadevan
2002	A	`conf`	A multiagent reinforcement learning algorithm by dynamically merging markov decision processes. AAMAS Mohammad Ghavamzadeh, Sridhar Mahadevan
2002	A*	`conf`	Approximate Planning with Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. ICRA Georgios Theocharous, Sridhar Mahadevan
2002	A*	`conf`	Hierarchically Optimal Average Reward Reinforcement Learning. ICML Mohammad Ghavamzadeh, Sridhar Mahadevan
2002	A	`conf`	Learning the hierarchical structure of spatial environments using multiresolution statistical models. IROS Georgios Theocharous, Sridhar Mahadevan
2002	—	`conf`	Learning to Take Concurrent Actions. NIPS Khashayar Rohanimanesh, Sridhar Mahadevan
2002	—	`conf`	Spatiotemporal Abstraction of Stochastic Sequential Processes. SARA Sridhar Mahadevan
2001	—	`conf`	A reinforcement learning model of selective visual attention. Agents Silviu Minut, Sridhar Mahadevan
2001	A*	`conf`	Continuous-Time Hierarchical Reinforcement Learning. ICML Mohammad Ghavamzadeh, Sridhar Mahadevan
2001	A	`conf`	Decision-Theoretic Planning with Concurrent Temporally Extended Actions. UAI Khashayar Rohanimanesh, Sridhar Mahadevan
2001	—	`conf`	Hierarchical multi-agent reinforcement learning. Agents Rajbala Makar, Sridhar Mahadevan, Mohammad Ghavamzadeh
2001	A*	`conf`	Learning Hierarchical Partially Observable Markov Decision Process Models for Robot Navigation. ICRA Georgios Theocharous, Khashayar Rohanimanesh, Sridhar Mahadevan
2000	—	`conf`	Face Recognition Using Foveal Vision. Biologically Motivated Computer Vision Silviu Minut, Sridhar Mahadevan, John M. Henderson, Fred C. Dyer
2000	—	`conf`	Hierarchical Memory-Based Reinforcement Learning. NIPS Natalia Hernandez-Gardiol, Sridhar Mahadevan
1999	A*	`conf`	Hierarchical Optimization of Policy-Coupled Semi-Markov Decision Processes. ICML Gang Wang, Sridhar Mahadevan
1998	Misc	`conf`	Optimizing Production Manufacturing Using Reinforcement Learning. FLAIRS Sridhar Mahadevan, Georgios Theocharous
1998	J	`jnl`	Rapid Concept Learning for Mobile Robots. Auton. Robots Sridhar Mahadevan, Georgios Theocharous, Nikfar Khaleeli
1998	J	`jnl`	Rapid Concept Learning for Mobile Robots. Mach. Learn. Sridhar Mahadevan, Georgios Theocharous, Nikfar Khaleeli
1996	—	`conf`	An Average-Reward Reinforcement Learning Algorithm for Computing Bias-Optimal Policies. AAAI/IAAI, Vol. 1 Sridhar Mahadevan
1996	J	`jnl`	Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results. Mach. Learn. Sridhar Mahadevan
1996	A*	`conf`	Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning. ICML Sridhar Mahadevan
1996	J	`jnl`	The National Science Foundation Workshop on Reinforcement Learning. AI Mag. Sridhar Mahadevan, Leslie Pack Kaelbling
1994	J	`jnl`	Quantifying Prior Determination Knowledge Using the PAC Learning Model. Mach. Learn. Sridhar Mahadevan, Prasad Tadepalli
1994	A*	`conf`	To Discount or Not to Discount in Reinforcement Learning: A Case Study Comparing R Learning and Q Learning. ICML Sridhar Mahadevan
1993	J	`jnl`	An Apprentice-Based Approach to Knowledge Acquisition. Artif. Intell. Sridhar Mahadevan, Tom M. Mitchell, Jack Mostow, Louis I. Steinberg, Prasad Tadepalli
1992	J	`jnl`	Automatic Programming of Behavior-Based Robots Using Reinforcement Learning. Artif. Intell. Sridhar Mahadevan, Jonathan Connell
1992	—	`conf`	Enhancing Transfer in Reinforcement Learning by Building Stochastic Models of Robot Actions. ML Sridhar Mahadevan
1991	A*	`conf`	Automatic Programming of Behavior-Based Robots Using Reinforcement Learning. AAAI Sridhar Mahadevan, Jonathan Connell
1991	—	`conf`	Scaling Reinforcement Learning to Robotics by Exploiting the Subsumption Architecture. ML Sridhar Mahadevan, Jonathan Connell
1989	—	`conf`	Using Determinations in EBL: A Solution to the incomplete Theory Problem. ML Sridhar Mahadevan
1988	—	`conf`	On the Tractability of Learning from Incomplete Theories. ML Sridhar Mahadevan, Prasad Tadepalli
1985	A*	`conf`	LEAP: A Learning Apprentice for VLSI Design. IJCAI Tom M. Mitchell, Sridhar Mahadevan, Louis I. Steinberg
1985	A*	`conf`	Verification-based Learning: A Generalized Strategy for Inferring Problem-Reduction Methods. IJCAI Sridhar Mahadevan