Mathukumalli Vidyasagar

83 papers A* 5C 6Journal 44Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convergence of Two Time-Scale Stochastic Approximation: A Martingale Approach. CoRR Mathukumalli Vidyasagar
2025	J	`jnl`	Convergence of Momentum-Based Optimization Algorithms with Time-Varying Parameters. CoRR Mathukumalli Vidyasagar
2025	J	`jnl`	Revisiting Stochastic Approximation and Stochastic Gradient Descent. CoRR Rajeeva Laxman Karandikar, Bhamidi Visweswara Rao, Mathukumalli Vidyasagar
2024	—	`conf`	A vector almost-supermartingale convergence theorem and its applications. CDC Aditya Mahajan, Silviu-Iulian Niculescu, Mathukumalli Vidyasagar
2024	—	`conf`	Constant step-size stochastic approximation with delayed updates. CDC Aditya Mahajan, Silviu-Iulian Niculescu, Mathukumalli Vidyasagar
2024	J	`jnl`	Convergence Rates for Stochastic Approximation: Biased Noise with Unbounded Variance, and Applications. J. Optim. Theory Appl. Rajeeva Laxman Karandikar, Mathukumalli Vidyasagar
2023	J	`jnl`	A Tutorial Introduction to Reinforcement Learning. CoRR Mathukumalli Vidyasagar
2022	J	`jnl`	A prospective evaluation of breast thermography enhanced by a novel machine learning technique for screening breast abnormalities in a general population of women presenting to a secondary care hospital. Frontiers Artif. Intell. Richa Bansal, Sathiakar Collison, Lakshmi Krishnan, Bharat Aggarwal, Mathukumalli Vidyasagar, Siva Teja Kakileti, Geetha Manjunath
2022	J	`jnl`	Estimating large causal polytree skeletons from small samples. CoRR Sourav Chatterjee, Mathukumalli Vidyasagar
2022	J	`jnl`	Modified Error Bounds for Matrix Completion and Application to RL. IEEE Control. Syst. Lett. Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
2021	—	`conf`	SUTRA: An Approach to Modelling Pandemics with Undetected (Asymptomatic) Patients, and Applications to COVID-19. CDC Manindra Agrawal, Madhuri Kanitkar, Mathukumalli Vidyasagar
2020	J	`jnl`	CLOT norm minimization for continuous hands-off control. Autom. Masaaki Nagahara, Debasish Chatterjee, Niharika Challapalli, Mathukumalli Vidyasagar
2020	J	`jnl`	Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions. IEEE Trans. Signal Process. Mahsa Lotfi, Mathukumalli Vidyasagar
2020	J	`jnl`	Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs: Exact and Stable Recovery. IEEE Trans. Signal Process. Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
2020	—	`conf`	Deterministic Completion of Rectangular Matrices With Measurement Noise Using Unbalanced Ramanujan Bigraphs. CDC Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
2020	C	`conf`	Exact Completion of Rectangular Matrices Using Ramanujan Bigraphs. ACC Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
2020	C	`conf`	For Matrix Recovery, Rank Restricted Isometry Property and Robust Uniform Boundedness Property Imply Rank Robust Null Space Property. ACC Shashank Ranjan, Mathukumalli Vidyasagar
2019	J	`jnl`	An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory. J. Mach. Learn. Res. Mehmet Eren Ahsen, Mathukumalli Vidyasagar
2019	—	`conf`	Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs. CDC Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
2019	C	`conf`	Construction of High-Degree Ramanujan Graphs With Applications to Matrix Completion. ACC Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
2019	J	`jnl`	Deterministic Completion of Rectangular Matrices Using Asymmetric Ramanujan Graphs. CoRR Shantanu Prasad Burnwal, Mathukumalli Vidyasagar
2019	J	`jnl`	Deterministic Completion of Rectangular Matrices Using Ramanujan Bigraphs - II: Explicit Constructions and Phase Transitions. CoRR Shantanu Prasad Burnwal, Mathukumalli Vidyasagar, Kaneenika Sinha
2019	—	`conf`	Deterministic Construction of Bipolar Matrices For Compressed Sensing. CDC Shashank Ranjan, Mathukumalli Vidyasagar
2019	J	`jnl`	Tight Performance Bounds for Compressed Sensing With Conventional and Group Sparsity. IEEE Trans. Signal Process. Shashank Ranjan, Mathukumalli Vidyasagar
2018	J	`jnl`	A Fast Noniterative Algorithm for Compressive Sensing Using Binary Measurement Matrices. IEEE Trans. Signal Process. Mahsa Lotfi, Mathukumalli Vidyasagar
2018	—	`conf`	Array LDPC Code-based Compressive Sensing. Allerton Mahsa Lotfi, Mathukumalli Vidyasagar
2018	J	`jnl`	Compressed Sensing Using Binary Matrices of Nearly Optimal Dimensions. CoRR Mahsa Lotfi, Mathukumalli Vidyasagar
2018	J	`jnl`	Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer. IEEE Trans. Mol. Biol. Multi Scale Commun. Nitin K. Singh, Mehmet Eren Ahsen, Niharika Challapalli, Hyun-Seok Kim, Michael A. White, Mathukumalli Vidyasagar
2017	J	`jnl`	A Fast Noniterative Algorithm for Compressive Sensing Using Binary Measurement Matrices. CoRR Mahsa Lotfi, Mathukumalli Vidyasagar
2017	—	`conf`	A fast single-pass algorithm for compressive sensing based on binary measurement matrices. Allerton Mahsa Lotfi, Mathukumalli Vidyasagar
2017	C	`conf`	A multi-view ℓ1-norm SVM algorithm for data integration in biological applications. ACC Hema Kumari Achanta, Burook Misganaw, Mathukumalli Vidyasagar
2017	J	`jnl`	CLOT Norm Minimization for Continuous Hands-off Control. CoRR Niharika Challapalli, Masaaki Nagahara, Mathukumalli Vidyasagar
2017	J	`jnl`	Machine learning methods in computational cancer biology. Annu. Rev. Control. Mathukumalli Vidyasagar
2017	—	`conf`	Prediction of Time to Tumor Recurrence in Ovarian Cancer: Comparison of Three Sparse Regression Methods. ISBRA Mahsa Lotfi, Burook Misganaw, Mathukumalli Vidyasagar
2017	J	`jnl`	Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect. J. Mach. Learn. Res. Mehmet Eren Ahsen, Niharika Challapalli, Mathukumalli Vidyasagar
2016	C	`conf`	A robust platform-independent gene signature for single-sample breast cancer subtyping. ACC Burook Misganaw, Mathukumalli Vidyasagar
2016	J	`jnl`	Continuous Hands-off Control by CLOT Norm Minimization. CoRR Niharika Challapalli, Masaaki Nagahara, Mathukumalli Vidyasagar
2016	—	`conf`	Modelling drug response and resistance in cancer: Opportunities and challenges. CDC Niharika Challapalli, Mehmet Eren Ahsen, Mathukumalli Vidyasagar
2016	—	`conf`	Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract. BCB Mehmet Eren Ahsen, Todd P. Boren, Nitin K. Singh, Burook Misganaw, Jayanthi S. Lea, David S. Miller, Michael A. White, Mathukumalli Vidyasagar
2016	J	`jnl`	bLARS: An Algorithm to Infer Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Nitin K. Singh, Mathukumalli Vidyasagar
2015	C	`conf`	A PAC learning approach to one-bit compressed sensing. ACC Mehmet Eren Ahsen, Mathukumalli Vidyasagar
2015	—	`conf`	An approach to one-bit compressed sensing based on probably approximately correct learning theory. CDC Mehmet Eren Ahsen, Mathukumalli Vidyasagar
2015	—	`ch.`	Learning Theory. Encyclopedia of Systems and Control Mathukumalli Vidyasagar
2015	—	`conf`	Optimized prediction of extreme treatment outcomes in ovarian cancer. CDC Burook Misganaw, Mehmet Eren Ahsen, Nitin K. Singh, Keith A. Baggerly, Anna Unruh, Michael A. White, Mathukumalli Vidyasagar
2014	J	`jnl`	Machine Learning Methods in the Computational Biology of Cancer. CoRR Mathukumalli Vidyasagar
2014	J	`jnl`	Mixing Coefficients Between Discrete and Real Random Variables: Computation and Properties. IEEE Trans. Autom. Control. Mehmet Eren Ahsen, Mathukumalli Vidyasagar
2014	—	`conf`	Near-ideal behavior of compressed sensing algorithms. CDC Mehmet Eren Ahsen, Mathukumalli Vidyasagar
2014	—	`conf`	Near-ideal behavior of some compressed sensing algorithms. ECC Mehmet Eren Ahsen, Mathukumalli Vidyasagar
2013	—	`conf`	A sparse Bayesian learning based approach to Inferring Gene Regulatory Networks. GlobalSIP Nitin K. Singh, Aishwarya Sundaresan, Mathukumalli Vidyasagar
2013	—	`conf`	Near-ideal behavior of a modified Elastic Net algorithm. CDC Mathukumalli Vidyasagar
2012	J	`jnl`	A Metric Between Probability Distributions on Finite Sets of Different Cardinalities and Applications to Order Reduction. IEEE Trans. Autom. Control. Mathukumalli Vidyasagar
2012	—	`book`	Computational Cancer Biology - An Interaction Network Approach Mathukumalli Vidyasagar
2012	—	`conf`	Convergence and compactness of families of proper plants in the graph topology. CDC Mathukumalli Vidyasagar, Yutaka Yamamoto
2011	—	`conf`	A recursive learning algorithm for model reduction of Hidden Markov Models. CDC/ECC Kun Deng, Prashant G. Mehta, Sean P. Meyn, Mathukumalli Vidyasagar
2011	—	`conf`	Compact sets in the graph topology and applications to approximation of system design. CDC/ECC Yutaka Yamamoto, Mathukumalli Vidyasagar
2011	—	`book`	Control System Synthesis: A Factorization Approach, Part I Control System Synthesis Part I Mathukumalli Vidyasagar
2011	—	`book`	Control System Synthesis: A Factorization Approach, Part II Control System Synthesis Part II Mathukumalli Vidyasagar
2011	J	`jnl`	Metrics Between Probability Distributions on Finite Sets of Different Cardinalities by Maximizing Mutual Information (MMI) CoRR Mathukumalli Vidyasagar
2011	J	`jnl`	Probabilistic Methods in Cancer Biology. Eur. J. Control Mathukumalli Vidyasagar
2010	—	`conf`	Kullback-Leibler divergence rate between probability distributions on sets of different cardinalities. CDC Mathukumalli Vidyasagar
2010	—	`conf`	Reduced-order modeling of Markov and hidden Markov processes via aggregation. CDC Mathukumalli Vidyasagar
2009	—	`conf`	An elementary derivation of the large deviation rate function for finite state Markov chains. CDC Mathukumalli Vidyasagar
2008	J	`jnl`	The 4M (Mixed Memory Markov Model) Algorithm for Finding Genes in Prokaryotic Genomes. IEEE Trans. Autom. Control. Mathukumalli Vidyasagar, Sharmila S. Mande, Ch. V. Siva K. Reddy, V. V. Raja Rao
2001	J	`jnl`	Learning with prior information. IEEE Trans. Autom. Control. Marco C. Campi, Mathukumalli Vidyasagar
2001	J	`jnl`	Randomized Algorithms for Robust Controller Synthesis Using Statistical Learning Theory: A Tutorial Overview. Eur. J. Control Mathukumalli Vidyasagar
2001	—	`conf`	System identification: a learning theory approach. CDC Mathukumalli Vidyasagar, Rajeeva Laxman Karandikar
1995	J	`jnl`	Minimum-seeking properties of analog neural networks with multilinear objective functions. IEEE Trans. Autom. Control. Mathukumalli Vidyasagar
1993	J	`jnl`	Location and stability of the high-gain equilibria of nonlinear neural networks. IEEE Trans. Neural Networks Mathukumalli Vidyasagar
1992	J	`jnl`	Modeling a class of multilink manipulators with the last link flexible. IEEE Trans. Robotics Autom. David Wang, Mathukumalli Vidyasagar
1991	A*	`conf`	Observer-controller stabilization of a class of manipulators with a single flexible link. ICRA David Wang, Mathukumalli Vidyasagar
1991	J	`jnl`	Transfer Functions for a Single Flexible Link. Int. J. Robotics Res. David Wang, Mathukumalli Vidyasagar
1990	J	`jnl`	Optimal control of robotic manipulators in the presence of obstacles. J. Field Robotics Yao-Chon Chen, Mathukumalli Vidyasagar
1988	A*	`conf`	Control of a single-link flexible beam using a Hankel-norm-based reduced order model. ICRA H. Krishnan, Mathukumalli Vidyasagar
1988	A*	`conf`	Modelling of a 5-bar-linkage manipulator with one flexible link. ICRA David Wang, Mathukumalli Vidyasagar
1988	A*	`conf`	Optimal trajectory planning for planar n-link revolute manipulators in the presence of obstacles. ICRA Yao-Chon Chen, Mathukumalli Vidyasagar
1987	J	`jnl`	Robust linear compensator design for nonlinear robotic control. IEEE J. Robotics Autom. Mark W. Spong, Mathukumalli Vidyasagar
1986	J	`jnl`	New directions of research in nonlinear system theory. Proc. IEEE Mathukumalli Vidyasagar
1985	J	`jnl`	Nonlinear systems: Stability analysis. IEEE Trans. Syst. Man Cybern. Jake K. Aggarwal, Mathukumalli Vidyasagar
1985	A*	`conf`	Robust linear compensator design for nonlinear robotic control. ICRA Mark W. Spong, Mathukumalli Vidyasagar
1980	J	`jnl`	Review of "Qualitative Analysis of Large Scale Dynamical Systems" by Anthony N. Michel and Richard K. Miller. IEEE Trans. Syst. Man Cybern. Mathukumalli Vidyasagar
1977	J	`jnl`	New algorithms for constrained minimax optimization. Math. Program. S. R. K. Dutta, Mathukumalli Vidyasagar
1972	J	`jnl`	Review of "Nonlinear System Theory-A Functional Analysis Approach" by Jack M. Holtzman. IEEE Trans. Syst. Man Cybern. Mathukumalli Vidyasagar
1972	J	`jnl`	Review of "The Analysis of Feedback Systems" by Jan C. Willems. IEEE Trans. Syst. Man Cybern. Mathukumalli Vidyasagar