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Sekhar Tatikonda
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- affiliation: Yale University, New Haven, CT, USA
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Books and Theses
- 2000
- [b1]Sekhar Chandra Tatikonda:
Control under communication constraints. Massachusetts Institute of Technology, Cambridge, MA, USA, 2000
Journal Articles
- 2020
- [j32]Photios A. Stavrou
, Takashi Tanaka
, Sekhar Tatikonda
:
The Time-Invariant Multidimensional Gaussian Sequential Rate-Distortion Problem Revisited. IEEE Trans. Autom. Control. 65(5): 2245-2249 (2020) - 2019
- [j31]Ramji Venkataramanan, Sekhar Tatikonda, Andrew R. Barron:
Sparse Regression Codes. Found. Trends Commun. Inf. Theory 15(1-2): 1-195 (2019) - [j30]Patrick Rebeschini, Sekhar Tatikonda:
A New Approach to Laplacian Solvers and Flow Problems. J. Mach. Learn. Res. 20: 36:1-36:37 (2019) - [j29]De Wen Soh, Sekhar Tatikonda:
Learning Unfaithful $K$-separable Gaussian Graphical Models. J. Mach. Learn. Res. 20: 109:1-109:30 (2019) - [j28]Patrick Rebeschini
, Sekhar Tatikonda
:
Locality in Network Optimization. IEEE Trans. Control. Netw. Syst. 6(2): 487-500 (2019) - 2017
- [j27]Ramji Venkataramanan
, Sekhar Tatikonda:
The Rate-Distortion Function and Excess-Distortion Exponent of Sparse Regression Codes With Optimal Encoding. IEEE Trans. Inf. Theory 63(8): 5228-5243 (2017) - 2016
- [j26]Michael J. Kane, Bryan Lewis, Sekhar Tatikonda, Simon Urbanek
:
Scatter matrix concordance as a diagnostic for regressions on subsets of data. Stat. Anal. Data Min. 9(4): 249-259 (2016) - 2015
- [j25]Aditya Mahajan, Sekhar Tatikonda:
An algorithmic approach to identify irrelevant information in sequential teams. Autom. 61: 178-191 (2015) - [j24]Jialing Liu, Nicola Elia, Sekhar Tatikonda:
Capacity-Achieving Feedback Schemes for Gaussian Finite-State Markov Channels With Channel State Information. IEEE Trans. Inf. Theory 61(7): 3632-3650 (2015) - 2014
- [j23]Ramji Venkataramanan, Sekhar Tatikonda, Luis Lastras-Monta, Michele Franceschini:
Rewritable Storage Channels with Hidden State. IEEE J. Sel. Areas Commun. 32(5): 815-824 (2014) - [j22]Ramji Venkataramanan, Antony Joseph, Sekhar Tatikonda:
Lossy Compression via Sparse Linear Regression: Performance Under Minimum-Distance Encoding. IEEE Trans. Inf. Theory 60(6): 3254-3264 (2014) - [j21]Ramji Venkataramanan, Tuhin Sarkar, Sekhar Tatikonda:
Lossy Compression via Sparse Linear Regression: Computationally Efficient Encoding and Decoding. IEEE Trans. Inf. Theory 60(6): 3265-3278 (2014) - 2013
- [j20]Nicholas Ruozzi
, Sekhar Tatikonda:
Message-passing algorithms for quadratic minimization. J. Mach. Learn. Res. 14(1): 2287-2314 (2013) - [j19]Nicholas Ruozzi
, Sekhar Tatikonda:
Message-Passing Algorithms: Reparameterizations and Splittings. IEEE Trans. Inf. Theory 59(9): 5860-5881 (2013) - [j18]Ramji Venkataramanan, Sekhar Tatikonda, Kannan Ramchandran:
Achievable Rates for Channels With Deletions and Insertions. IEEE Trans. Inf. Theory 59(11): 6990-7013 (2013) - 2012
- [j17]Aditya Mahajan
, Sekhar Tatikonda:
Opportunistic Capacity and Error Exponent Region for the Compound Channel With Feedback. IEEE Trans. Inf. Theory 58(7): 4331-4341 (2012) - 2011
- [j16]Steven Jaslar, Sekhar Tatikonda:
Maximum Weight Partial Colorings on Sparse Random Graphs. SIAM J. Discret. Math. 25(2): 934-955 (2011) - [j15]Jian Ni, Sekhar Tatikonda:
Network Tomography Based on Additive Metrics. IEEE Trans. Inf. Theory 57(12): 7798-7809 (2011) - 2010
- [j14]Jian Ni, Haiyong Xie, Sekhar Tatikonda, Yang Richard Yang:
Efficient and dynamic routing topology inference from end-to-end measurements. IEEE/ACM Trans. Netw. 18(1): 123-135 (2010) - 2009
- [j13]Serdar Yüksel, Sekhar Tatikonda:
A Counterexample in Distributed Optimal Sensing and Control. IEEE Trans. Autom. Control. 54(4): 841-844 (2009) - [j12]Sekhar Tatikonda, Sanjoy K. Mitter:
The Capacity of Channels With Feedback. IEEE Trans. Inf. Theory 55(1): 323-349 (2009) - [j11]Giacomo Como
, Serdar Yüksel, Sekhar Tatikonda:
The error exponent of variable-length codes over Markov channels with feedback. IEEE Trans. Inf. Theory 55(5): 2139-2160 (2009) - 2007
- [j10]Jian Ni, Danny H. K. Tsang, Sekhar Tatikonda, Brahim Bensaou:
Optimal and Structured Call Admission Control Policies for Resource-Sharing Systems. IEEE Trans. Commun. 55(1): 158-170 (2007) - [j9]Jian Ni, Sekhar Tatikonda:
Analyzing Product-Form Stochastic Networks Via Factor Graphs and the Sum-Product Algorithm. IEEE Trans. Commun. 55(8): 1588-1597 (2007) - [j8]Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda:
On the Feedback Capacity of Power-Constrained Gaussian Noise Channels With Memory. IEEE Trans. Inf. Theory 53(3): 929-954 (2007) - 2005
- [j7]Sekhar Tatikonda, Sanjoy K. Mitter:
Authors' reply [to comments on "control over noisy channels" by S. Tatikonda and S. Mitter]. IEEE Trans. Autom. Control. 50(12) (2005) - [j6]Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda:
Feedback capacity of finite-state machine channels. IEEE Trans. Inf. Theory 51(3): 799-810 (2005) - 2004
- [j5]Sekhar Tatikonda, Sanjoy K. Mitter:
Control under communication constraints. IEEE Trans. Autom. Control. 49(7): 1056-1068 (2004) - [j4]Sekhar Tatikonda, Sanjoy K. Mitter:
Control over noisy channels. IEEE Trans. Autom. Control. 49(7): 1196-1201 (2004) - [j3]Sekhar Tatikonda, Anant Sahai, Sanjoy K. Mitter:
Stochastic linear control over a communication channel. IEEE Trans. Autom. Control. 49(9): 1549-1561 (2004) - 2001
- [j2]Vivek S. Borkar, Sanjoy K. Mitter, Sekhar Tatikonda:
Markov control problems under communication constraints. Commun. Inf. Syst. 1(1): 15-32 (2001) - [j1]Vivek S. Borkar, Sanjoy K. Mitter, Sekhar Tatikonda:
Optimal Sequential Vector Quantization of Markov Sources. SIAM J. Control. Optim. 40(1): 135-148 (2001)
Conference and Workshop Papers
- 2022
- [c54]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. ICLR 2022 - 2021
- [c53]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. ICLR 2021 - [c52]Juntang Zhuang
, Nicha C. Dvornek
, Sekhar Tatikonda
, Xenophon Papademetris
, Pamela Ventola
, James S. Duncan
:
Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling. IPMI 2021: 58-70 - [c51]Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. NeurIPS 2021: 28249-28260 - 2020
- [c50]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan:
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. ICML 2020: 11639-11649 - [c49]Juntang Zhuang, Tommy Tang, Yifan Ding
, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan:
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. NeurIPS 2020 - 2017
- [c48]Patrick Rebeschini, Sekhar Tatikonda:
Accelerated consensus via Min-Sum Splitting. NIPS 2017: 1374-1384 - 2016
- [c47]Patrick Rebeschini
, Sekhar Tatikonda:
Decay of correlation in network flow problems. CISS 2016: 169-174 - 2014
- [c46]Ramji Venkataramanan, Sekhar Tatikonda:
The Gaussian rate-distortion function of sparse regression codes with optimal encoding. ISIT 2014: 2844-2848 - [c45]De Wen Soh, Sekhar Tatikonda:
Testing Unfaithful Gaussian Graphical Models. NIPS 2014: 2681-2689 - 2013
- [c44]Ramji Venkataramanan, Tuhin Sarkar, Sekhar Tatikonda:
Lossy compression via sparse linear regression: Computationally efficient encoding and decoding. ISIT 2013: 1182-1186 - [c43]Ramji Venkataramanan, Sekhar Tatikonda:
Sparse Regression codes: Recent results and future directions. ITW 2013: 1-5 - [c42]Ramji Venkataramanan, Sekhar Tatikonda:
Improved capacity lower bounds for channels with deletions and insertions. ITW 2013: 1-5 - 2012
- [c41]Ramji Venkataramanan, Sekhar Tatikonda:
Sparse regression codes for multi-terminal source and channel coding. Allerton Conference 2012: 1966-1974 - [c40]Ji Liu, Navid Hassanpour, Sekhar Tatikonda, A. Stephen Morse:
Dynamic threshold models of collective action in social networks. CDC 2012: 3991-3996 - [c39]Ramji Venkataramanan, Antony Joseph, Sekhar Tatikonda:
Gaussian rate-distortion via sparse linear regression over compact dictionaries. ISIT 2012: 368-372 - [c38]Ramji Venkataramanan, Sekhar Tatikonda, Luis Alfonso Lastras-Montaño, Michele Franceschini:
Coding strategies for the uniform noise rewritable channel with hidden state. ISIT 2012: 1005-1009 - 2011
- [c37]Ramji Venkataramanan, Sekhar Tatikonda, Kannan Ramchandran:
Achievable rates for channels with deletions and insertions. ISIT 2011: 346-350 - 2010
- [c36]Tung Le, Sekhar Tatikonda, Christoforos N. Hadjicostis
:
Performance analysis of sum-product algorithms for multiple fault diagnosis applications. CDC 2010: 1627-1632 - [c35]Aditya Mahajan
, Sekhar Tatikonda:
Opportunistic capacity and error exponent regions for variable length communication over compound channel with feedback. CISS 2010: 1-6 - [c34]Nicholas Ruozzi, Sekhar Tatikonda:
Unconstrained minimization of quadratic functions via min-sum. CISS 2010: 1-5 - [c33]Aditya Mahajan
, Sekhar Tatikonda:
Opportunistic capacity and error exponent regions for compound channel with feedback. ISIT 2010: 236-240 - [c32]Nicholas Ruozzi, Sekhar Tatikonda:
Convergent and Correct Message Passing Schemes for Optimization Problems over Graphical Models. UAI 2010: 500 - 2009
- [c31]Aditya Mahajan
, Sekhar Tatikonda:
Sequential team form and its simplification using graphical models. Allerton 2009: 330-339 - [c30]Aditya Mahajan
, Sekhar Tatikonda:
A training based scheme for communicating over unknown channels with feedback. Allerton 2009: 1549-1553 - [c29]Nicholas Ruozzi, Justin Thaler, Sekhar Tatikonda:
Graph covers and quadratic minimization. Allerton 2009: 1590-1596 - [c28]Sekhar Tatikonda:
Clustering phenomena in message-passing schemes. ITW 2009: 10-12 - [c27]Aditya Mahajan, Sekhar Tatikonda:
A Graphical modeling approach to simplifying sequential teams. WiOpt 2009: 1-8 - 2008
- [c26]Nicholas Ruozzi, Sekhar Tatikonda:
s-t paths using the min-sum algorithm. Allerton 2008: 918-921 - [c25]Steven Jaslar, Sekhar Tatikonda:
Convergence of optimal values past critical threshold. Allerton 2008: 945-951 - [c24]Jian Ni, Sekhar Tatikonda:
Network tomography based on additive metrics. CISS 2008: 1149-1154 - [c23]Jian Ni, Haiyong Xie, Sekhar Tatikonda, Yang Richard Yang:
Network Routing Topology Inference from End-to-End Measurements. INFOCOM 2008: 36-40 - [c22]Sekhar Tatikonda:
The structure of encoders for channels with feedback. ISIT 2008: 722-726 - [c21]Sekhar Tatikonda:
Cooperative control under communication constraints. ITW 2008: 243-246 - 2007
- [c20]Jian Ni, Sekhar Tatikonda:
Performance Evaluation of Loss Networks via Factor Graphs and the Sum-Product Algorithm. INFOCOM 2007: 409-417 - [c19]Serdar Yüksel, Sekhar Tatikonda:
Capacity of Markov Channels with Partial State Feedback. ISIT 2007: 1861-1865 - [c18]Giacomo Como
, Serdar Yüksel, Sekhar Tatikonda:
On the Burnashev exponent for Markov channels. ISIT 2007: 1871-1875 - 2006
- [c17]Jian Ni, Sekhar Tatikonda, Edmund M. Yeh:
A Large-Scale Distributed Traffic Matrix Estimation Algorithm. GLOBECOM 2006 - [c16]Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda:
Feedback Capacity of Stationary Sources over Gaussian Intersymbol Interference Channels. GLOBECOM 2006 - [c15]Stephan Winkler, Sekhar Tatikonda, David Pollard:
Analysis of Max-Product via Local Maxifiers. ISIT 2006: 2689-2693 - [c14]Jian Ni, Sekhar Tatikonda:
A Markov Random Field Approach to Multicast-Based Network Inference Problems. ISIT 2006: 2769-2773 - 2005
- [c13]Vivek S. Borkar, Sanjoy K. Mitter, Anant Sahai, Sekhar Tatikonda:
Sequential Source Coding: An optimization viewpoint. CDC/ECC 2005: 1035-1042 - [c12]Sekhar Tatikonda:
A Markov Decision Approach to Feedback Channel Capacity. CDC/ECC 2005: 3213-3218 - [c11]Jian Ni, Sekhar Tatikonda:
Revenue optimization via call admission control and pricing for mobile cellular systems. ICC 2005: 3359-3364 - [c10]Jian Ni, Danny H. K. Tsang, Sekhar Tatikonda, Brahim Bensaou:
Threshold and reservation based call admission control policies for multiservice resource-sharing systems. INFOCOM 2005: 773-783 - [c9]Jian Ni, Sekhar Tatikonda:
Calculating blocking probabilities for loss networks based on probabilistic graphical models. ISIT 2005: 568-572 - 2004
- [c8]Jialing Liu, Nicola Elia, Sekhar Tatikonda:
Capacity-achieving feedback scheme for flat fading channels with channel state information. ACC 2004: 3593-3598 - [c7]Jialing Liu, Nicola Elia, Sekhar Tatikonda:
Capacity-achieving feedback scheme for Markov channels with channel state information. ISIT 2004: 71 - [c6]Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda:
Linear Gaussian channels: feedback capacity under power constraints. ISIT 2004: 72 - [c5]Sekhar Tatikonda, Kannan Ramchandran:
Coding and routing complexity in sensor networks. ISIT 2004: 117 - 2003
- [c4]Sekhar Tatikonda:
Some scaling properties of large distributed control systems. CDC 2003: 3142-3147 - [c3]Sekhar Chandra Tatikonda:
Convergence of the sum-product algorithm. ITW 2003: 222-225 - 2002
- [c2]Sekhar Tatikonda, Michael I. Jordan:
Loopy Belief Propogation and Gibbs Measures. UAI 2002: 493-500 - 2001
- [c1]Vivek S. Borkar, Sanjoy K. Mitter, Sekhar Tatikonda:
Optimal sequential vector quantization of Markov sources. CDC 2001: 205-210
Informal and Other Publications
- 2022
- [i27]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR abs/2203.08065 (2022) - 2021
- [i26]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. CoRR abs/2102.04668 (2021) - [i25]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan:
Multiple-shooting adjoint method for whole-brain dynamic causal modeling. CoRR abs/2102.11013 (2021) - [i24]Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. CoRR abs/2110.05454 (2021) - 2020
- [i23]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan:
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. CoRR abs/2006.02493 (2020) - [i22]Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan:
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. CoRR abs/2010.07468 (2020) - 2019
- [i21]Ramji Venkataramanan, Sekhar Tatikonda, Andrew R. Barron:
Sparse Regression Codes. CoRR abs/1911.00771 (2019) - 2018
- [i20]Javid Dadashkarimi, Sekhar Tatikonda:
Sequence to Logic with Copy and Cache. CoRR abs/1807.07333 (2018) - [i19]Javid Dadashkarimi, Alexander R. Fabbri, Sekhar Tatikonda, Dragomir R. Radev:
Zero-shot Transfer Learning for Semantic Parsing. CoRR abs/1808.09889 (2018) - 2017
- [i18]Photios A. Stavrou, Takashi Tanaka, Sekhar Tatikonda:
The Time-Invariant Multidimensional Gaussian Sequential Rate-Distortion Problem Revisited. CoRR abs/1711.09853 (2017) - 2016
- [i17]Patrick Rebeschini, Sekhar Tatikonda:
A new approach to Laplacian solvers and flow problems. CoRR abs/1611.07138 (2016) - 2014
- [i16]Ramji Venkataramanan, Sekhar Tatikonda:
The Gaussian Rate-Distortion Function of Sparse Regression Codes with Optimal Encoding. CoRR abs/1401.5272 (2014) - 2013
- [i15]Sekhar Tatikonda, Michael I. Jordan:
Loopy Belief Propogation and Gibbs Measures. CoRR abs/1301.0605 (2013) - 2012
- [i14]Ramji Venkataramanan, Antony Joseph, Sekhar Tatikonda:
Gaussian Rate-Distortion via Sparse Regression over Compact Dictionaries. CoRR abs/1202.0840 (2012) - [i13]Ramji Venkataramanan, Sekhar Tatikonda, Luis A. Lastras, Michele Franceschini:
Coding strategies for the uniform noise rewritable channel with hidden state. CoRR abs/1206.2491 (2012) - [i12]Nicholas Ruozzi, Sekhar Tatikonda:
Message-Passing Algorithms for Quadratic Minimization. CoRR abs/1212.0171 (2012) - [i11]Ramji Venkataramanan, Tuhin Sarkar, Sekhar Tatikonda:
Lossy Compression via Sparse Linear Regression: Computationally Efficient Encoding and Decoding. CoRR abs/1212.1707 (2012) - [i10]Ramji Venkataramanan, Sekhar Tatikonda:
Sparse Regression Codes for Multi-terminal Source and Channel Coding. CoRR abs/1212.2125 (2012) - 2011
- [i9]Ramji Venkataramanan, Sekhar Tatikonda, Kannan Ramchandran:
Achievable Rates for Channels with Deletions and Insertions. CoRR abs/1102.5112 (2011) - [i8]John Hartigan, David Pollard, Sekhar Tatikonda:
Conditioned Poisson distributions and the concentration of chromatic numbers. CoRR abs/1107.3818 (2011) - 2010
- [i7]Nicholas Ruozzi, Sekhar Tatikonda:
Convergent and Correct Message Passing Schemes for Optimization Problems over Graphical Models. CoRR abs/1002.3239 (2010) - 2009
- [i6]Aditya Mahajan, Sekhar Tatikonda:
A training-based scheme for communicating over unknown channels with feedback. CoRR abs/0911.2023 (2009) - 2008
- [i5]Jialing Liu, Nicola Elia, Sekhar Tatikonda:
Capacity-achieving Feedback Scheme for Gaussian Finite-State Markov Channels with Channel State Information. CoRR abs/0808.2089 (2008) - [i4]Jian Ni, Sekhar Tatikonda:
Network Tomography Based on Additive Metrics. CoRR abs/0809.0158 (2008) - 2007
- [i3]Giacomo Como, Serdar Yüksel, Sekhar Tatikonda:
On the error exponent of variable-length block-coding schemes over finite-state Markov channels with feedback. CoRR abs/0707.2014 (2007) - [i2]Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda:
On the Feedback Capacity of Power Constrained Gaussian Noise Channels with Memory. CoRR abs/cs/0701099 (2007) - 2006
- [i1]Sekhar Tatikonda, Sanjoy K. Mitter:
The Capacity of Channels with Feedback. CoRR abs/cs/0609139 (2006)
Coauthor Index
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