M. Vidyasagar

Publication Activity (10 Years)

Years Active: 1983-2023
Publications (10 Years): 11

Top Topics

Stochastic Approximation

Reinforcement Learning

Image And Video Data

Exponential Stability

Top Venues

IEEE Control. Syst. Lett.

Publications

M. Vidyasagar
Convergence of stochastic approximation via martingale and converse Lyapunov methods. Math. Control. Signals Syst. 35 (2) (2023)
Rajeeva L. Karandikar, M. Vidyasagar
Convergence Rates for Stochastic Approximation: Biased Noise with Unbounded Variance, and Applications. CoRR (2023)
M. Vidyasagar
A New Converse Lyapunov Theorem for Global Exponential Stability and Applications to Stochastic Approximation. CDC (2022)
M. Vidyasagar
Convergence of Stochastic Approximation via Martingale and Converse Lyapunov Methods. CoRR (2022)
Rajeeva L. Karandikar, M. Vidyasagar
Convergence of Batch Asynchronous Stochastic Approximation With Applications to Reinforcement Learning. CoRR (2021)
Santosh Ansumali, Shaurya Kaushal, Aloke Kumar, Meher K. Prakash, M. Vidyasagar
Modelling a pandemic with asymptomatic patients, impact of lockdown and herd immunity, with applications to SARS-CoV-2. Annu. Rev. Control. 50 (2020)
M. Vidyasagar
Recent Advances in Reinforcement Learning. ACC (2020)
Murat Arcak, Franco Blanchini, M. Vidyasagar
Editorial to the Special Issue of L-CSS on Control and Network Theory for Biological Systems. IEEE Control. Syst. Lett. 3 (2) (2019)
Hema Kumari Achanta, Burook Misganaw, M. Vidyasagar
Integrating biological data across multiple platforms using importance-weighted transfer learning and applications to breast cancer data sets. CCTA (2017)
Hema Kumari Achanta, Burook Misganaw, M. Vidyasagar
A transfer learning approach for integrating biological data across platforms. ACC (2016)
M. Vidyasagar
A tutorial introduction to compressed sensing. CDC (2016)
Nitin K. Singh, M. Vidyasagar
Inferring Gene Regulatory Networks with Sparse Bayesian Learning and phi-mixing coefficient. ECC (2014)
Mehmet Eren Ahsen, M. Vidyasagar
On the computation of mixing coefficients between discrete-valued random variables. ASCC (2013)
Nitin K. Singh, Mehmet Eren Ahsen, Shiva Mankala, M. Vidyasagar, Michael A. White
Inferring weighted and directed gene interaction networks from gene expression data using the phi-mixing coefficient. GENSiPS (2012)
Mehmet Eren Ahsen, Nitin K. Singh, Todd P. Boren, M. Vidyasagar, Michael A. White
A new feature selection algorithm for two-class classification problems and application to endometrial cancer. CDC (2012)
Nitin K. Singh, Mehmet Eren Ahsen, Shiva Mankala, M. Vidyasagar, Michael A. White
A novel application of mixing coefficients for reverse-engineering gene interaction networks. Allerton Conference (2012)
M. Vidyasagar
The complete realization problem for hidden Markov models: a survey and some new results. Math. Control. Signals Syst. 23 (1-3) (2011)
M. Vidyasagar
Optimal order reduction of probability distributions by maximizing mutual information. CDC/ECC (2011)
M. Vidyasagar
A metric between probability distributions on finite sets of different cardinalities. CDC/ECC (2011)
Mustafa Khammash, Claire J. Tomlin, M. Vidyasagar
Guest Editorial - Special Issue on Systems Biology. IEEE Trans. Autom. Control. 53 (2008)
Kshama Goyal, M. Vidyasagar
Predicting protein-protein interactions in E. coli using machine learning methods. CDC (2007)
Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty
A Unified Approach to Encoding and Classification Using Bimodal Projection-Based Features. ICCTA (2007)
M. Vidyasagar
Bounds on the kullback-leibler divergence rate between hidden markov models. CDC (2007)
Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty
Bimodal Projection-based Features for Pattern Classification. IJCNN (2006)
M. Vidyasagar
The 4M (Mixed Memory Markov Model) Algorithm for Finding Genes from Prokaryote Genomes. CDC (2006)
M. Vidyasagar
Convergence of Empirical Means with Alpha-Mixing Input Sequences, and an Application to PAC Learning. CDC/ECC (2005)
M. Vidyasagar
The Realization Problem for Hidden Markov Models: The Complete Realization Problem. CDC/ECC (2005)
M. Vidyasagar
Synthesis of hidden Markov models based on finite sample paths and applications to computational biology. ECC (2003)
M. Vidyasagar
Some challenges in computational biology. ECC (2003)
M. Vidyasagar
Randomized algorithms for robust controller synthesis using statistical learning theory. Autom. 37 (10) (2001)
M. Vidyasagar, Vincent D. Blondel
Probabilistic solutions to some NP-hard matrix problems. Autom. 37 (9) (2001)
Marco C. Campi, M. Vidyasagar
Learning with prior information. ISCAS (2000)
M. Vidyasagar, Sanjeev R. Kulkarni
Some contributions to fixed-distribution learning theory. IEEE Trans. Autom. Control. 45 (2) (2000)
Dipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi
Synthesis of fault-tolerant feedforward neural networks using minimax optimization. IEEE Trans. Neural Networks 9 (5) (1998)
Sanjeev R. Kulkarni, M. Vidyasagar
Learning decision rules for pattern classification under a family of probability measures. IEEE Trans. Inf. Theory 43 (1) (1997)
M. Vidyasagar
. Eur. J. Control 2 (2) (1996)
M. Vidyasagar
Convergence of higher-order neural networks with modified updating. ICNN (1993)
Ajay Gopalswamy, Pramod Gupta, M. Vidyasagar
A new parallelogram linkage configuration for gravity compensation using torsional springs. ICRA (1992)
A. Sankaranarayanan, M. Vidyasagar
Path planning for moving a point object amidst unknown obstacles in a plane: the universal lower bound on the worst path lengths and a classification of algorithms. ICRA (1991)
David Vinke, M. Vidyasagar
optimal control of a flexible beam. ICRA (1991)
Hemanshu Roy Pota, M. Vidyasagar
Passivity of flexible beam transfer functions with modified outputs. ICRA (1991)
A. Sankaranarayanan, M. Vidyasagar
A new path planning algorithm for moving a point object amidst unknown obstacles in a plane. ICRA (1990)
David Wang, M. Vidyasagar
Passive control of a single flexible link. ICRA (1990)
M. Vidyasagar
An analysis of the flows of neural networks with linear interconnections. IJCNN (1990)
M. Vidyasagar
Improved neural networks for analog to digital conversion. IJCNN (1990)
David Wang, M. Vidyasagar
Transfer functions for a single flexible link. ICRA (1989)
Y. C. Chen, M. Vidyasagar
Some qualitative results on the collision-free joint space of a planar n-DOF linkage. ICRA (1987)
I. Y. Shung, M. Vidyasagar
Control of a flexible robot arm with bounded input: Optimum step responses. ICRA (1987)
David Wang, M. Vidyasagar
Control of a flexible beam for optimum step response. ICRA (1987)
M. Vidyasagar
Some results on simultaneous stabilization with multiple domains of stability. Autom. 23 (4) (1987)
C. C. H. Ma, M. Vidyasagar
Parametric conditions for stability of reduced-order linear time-varying control systems. Autom. 23 (5) (1987)
H. Maeda, M. Vidyasagar
Infinite gain margin problem in multivariable feedback systems. Autom. 22 (1) (1986)
M. Vidyasagar, Y. Xiong
Control of a flexible robot arm using the stable factorization approach. ICRA (1986)
M. Vidyasagar, H. Kimura
Robust controllers for uncertain linear multivariable systems. Autom. 22 (1) (1986)
M. Vidyasagar, N. Viswanadham
Reliable stabilization using a multi-controller configuration. Autom. 21 (5) (1985)
Anthony Vannelli, M. Vidyasagar
Maximal lyapunov functions and domains of attraction for autonomous nonlinear systems. Autom. 21 (1) (1985)
Bruce A. Francis, M. Vidyasagar
Algebraic and topological aspects of the regulator problem for lumped linear systems. Autom. 19 (1) (1983)