Vincent Y. F. Tan
Orcid: 0000-0003-1436-5337Affiliations:
- National University of Singapore, Department of Electrical and Computer Engineering, Singapore
According to our database1,
Vincent Y. F. Tan
authored at least 311 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Inf. Theory, October, 2024
IEEE Trans. Inf. Theory, July, 2024
IEEE Trans. Inf. Theory, June, 2024
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024
Corrections to "Equivocations, Exponents, and Second-Order Coding Rates Under Various Rényi Information Measures".
IEEE Trans. Inf. Theory, April, 2024
Trans. Mach. Learn. Res., 2024
Trans. Mach. Learn. Res., 2024
IEEE Trans. Inf. Forensics Secur., 2024
A hybrid genetic search and dynamic programming-based split algorithm for the multi-trip time-dependent vehicle routing problem.
Eur. J. Oper. Res., 2024
CoRR, 2024
A Sample Efficient Alternating Minimization-based Algorithm For Robust Phase Retrieval.
CoRR, 2024
A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent.
CoRR, 2024
Order-Optimal Instance-Dependent Bounds for Offline Reinforcement Learning with Preference Feedback.
CoRR, 2024
MIMO Capacity Analysis and Channel Estimation for Electromagnetic Information Theory.
CoRR, 2024
InstaDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos.
CoRR, 2024
Variable-Length Feedback Codes over Known and Unknown Channels with Non-vanishing Error Probabilities.
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the IEEE International Symposium on Information Theory, 2024
Proceedings of the IEEE International Symposium on Information Theory, 2024
Proceedings of the IEEE International Symposium on Information Theory, 2024
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
DragDiffusion: Harnessing Diffusion Models for Interactive Point-Based Image Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
SIAM J. Comput., June, 2023
IEEE Trans. Wirel. Commun., May, 2023
IEEE Trans. Inf. Theory, May, 2023
Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees.
IEEE Trans. Inf. Theory, April, 2023
IEEE Trans. Inf. Theory, April, 2023
Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits.
Trans. Mach. Learn. Res., 2023
IEEE Trans. Inf. Theory, 2023
Asymptotic Nash Equilibrium for the M-Ary Sequential Adversarial Hypothesis Testing Game.
IEEE Trans. Inf. Forensics Secur., 2023
CoRR, 2023
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Mc2g: An Efficient Algorithm for Matrix Completion With Social and Item Similarity Graphs.
IEEE Trans. Signal Process., 2022
IEEE Trans. Signal Process., 2022
On Smooth Rényi Entropies: A Novel Information Measure, One-Shot Coding Theorems, and Asymptotic Expansions.
IEEE Trans. Inf. Theory, 2022
Asymptotics of Sequential Composite Hypothesis Testing Under Probabilistic Constraints.
IEEE Trans. Inf. Theory, 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning.
J. Mach. Learn. Res., 2022
Found. Trends Commun. Inf. Theory, 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the IEEE Information Theory Workshop, 2022
Proceedings of the IEEE Information Theory Workshop, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Signal Process., 2021
Positive Semidefinite Matrix Factorization: A Connection With Phase Retrieval and Affine Rank Minimization.
IEEE Trans. Signal Process., 2021
IEEE Trans. Inf. Theory, 2021
IEEE Trans. Inf. Theory, 2021
IEEE Trans. Inf. Theory, 2021
Optimal Change-Point Detection With Training Sequences in the Large and Moderate Deviations Regimes.
IEEE Trans. Inf. Theory, 2021
IEEE Trans. Inf. Theory, 2021
IEEE Signal Process. Lett., 2021
On the Pareto Frontier of Regret Minimization and Best Arm Identification in Stochastic Bandits.
CoRR, 2021
CoRR, 2021
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE Information Theory Workshop, 2021
Proceedings of the IEEE Information Theory Workshop, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions.
Proceedings of the 38th International Conference on Machine Learning, 2021
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection.
Proceedings of the 38th International Conference on Machine Learning, 2021
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
IEEE Trans. Inf. Theory, 2020
IEEE Trans. Inf. Theory, 2020
IEEE Trans. Inf. Theory, 2020
IEEE Trans. Inf. Theory, 2020
IEEE Trans. Inf. Theory, 2020
IEEE Trans. Inf. Theory, 2020
IEEE Trans. Inf. Theory, 2020
IEEE Trans. Inf. Theory, 2020
Exact Asymptotics for Learning Tree-Structured Graphical Models With Side Information: Noiseless and Noisy Samples.
IEEE J. Sel. Areas Inf. Theory, 2020
Proceedings of the International Symposium on Information Theory and Its Applications, 2020
Optimal Resolution of Change-Point Detection with Empirically Observed Statistics and Erasures.
Proceedings of the International Symposium on Information Theory and Its Applications, 2020
Achievability Bounds for Community Detection and Matrix Completion with Two-Sided Graph Side-Information.
Proceedings of the IEEE International Symposium on Information Theory, 2020
On the Second- and Third-Order Asymptotics of Smooth Rényi Entropy and Their Applications.
Proceedings of the IEEE International Symposium on Information Theory, 2020
On the Error Exponent of Approximate Sufficient Statistics for M-ary Hypothesis Testing.
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Refined Asymptotics for Rate-Distortion Using Gaussian Codebooks for Arbitrary Sources.
IEEE Trans. Inf. Theory, 2019
The Dispersion of Mismatched Joint Source-Channel Coding for Arbitrary Sources and Additive Channels.
IEEE Trans. Inf. Theory, 2019
IEEE Trans. Inf. Theory, 2019
IEEE Trans. Inf. Theory, 2019
IEEE Trans. Inf. Theory, 2019
The Reliability Function of Variable-Length Lossy Joint Source-Channel Coding With Feedback.
IEEE Trans. Inf. Theory, 2019
IEEE Trans. Inf. Theory, 2019
IEEE Trans. Inf. Theory, 2019
IEEE Trans. Inf. Theory, 2019
IEEE Trans. Inf. Forensics Secur., 2019
IEEE Trans. Commun., 2019
IEEE Trans. Commun., 2019
Probl. Inf. Transm., 2019
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
A Strong Converse Theorem for Hypothesis Testing Against Independence over a Two-Hop Network.
Entropy, 2019
CoRR, 2019
CoRR, 2019
Bounds on the Average Distance and Distance Enumerator with Applications to Non-Interactive Simulation.
CoRR, 2019
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Proceedings of the 2019 IEEE Information Theory Workshop, 2019
Proceedings of the 2019 IEEE Information Theory Workshop, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
A Unified Convergence Analysis of the Multiplicative Update Algorithm for Regularized Nonnegative Matrix Factorization.
IEEE Trans. Signal Process., 2018
IEEE Trans. Signal Process., 2018
IEEE Trans. Inf. Theory, 2018
Achievable Moderate Deviations Asymptotics for Streaming Compression of Correlated Sources.
IEEE Trans. Inf. Theory, 2018
IEEE Trans. Inf. Theory, 2018
On Gaussian MACs With Variable-Length Feedback and Non-Vanishing Error Probabilities.
IEEE Trans. Inf. Theory, 2018
Analysis of Remaining Uncertainties and Exponents Under Various Conditional Rényi Entropies.
IEEE Trans. Inf. Theory, 2018
IEEE Trans. Inf. Theory, 2018
On Achievable Rates of AWGN Energy-Harvesting Channels With Block Energy Arrival and Non-Vanishing Error Probabilities.
IEEE Trans. Inf. Theory, 2018
Hypothesis Testing Under Mutual Information Privacy Constraints in the High Privacy Regime.
IEEE Trans. Inf. Forensics Secur., 2018
Introduction to the Issue on Information-Theoretic Methods in Data Acquisition, Analysis, and Processing.
IEEE J. Sel. Top. Signal Process., 2018
Lower Bounds on the Bayes Risk of the Bayesian BTL Model With Applications to Comparison Graphs.
IEEE J. Sel. Top. Signal Process., 2018
Asymptotically Optimal Codes Correcting Fixed-Length Duplication Errors in DNA Storage Systems.
IEEE Commun. Lett., 2018
The Optimal Compression Rate of Variable-to-Fixed Length Source Coding with a Non-Vanishing Excess-Distortion Probability.
CoRR, 2018
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Proceedings of the 2018 International Conference on Signal Processing and Communications (SPCOM), 2018
Error-Free Communication Over State-Dependent Channels with Variable-Length Feedback.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
The Reliability Function of Lossy Source-Channel Coding of Variable-Length Codes with Feedback.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Second-Order Asymptotics of Universal JSCC for Arbitrary Sources and Additive Channels.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Second-Order Asymptotics of Rate-Distortion using Gaussian Codebooks for Arbitrary Sources.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, 2018
2017
IEEE Trans. Signal Process., 2017
Rank-One NMF-Based Initialization for NMF and Relative Error Bounds Under a Geometric Assumption.
IEEE Trans. Signal Process., 2017
IEEE Trans. Inf. Theory, 2017
Discrete Lossy Gray-Wyner Revisited: Second-Order Asymptotics, Large and Moderate Deviations.
IEEE Trans. Inf. Theory, 2017
On Gaussian Channels With Feedback Under Expected Power Constraints and With Non-Vanishing Error Probabilities.
IEEE Trans. Inf. Theory, 2017
IEEE Trans. Inf. Theory, 2017
IEEE Trans. Inf. Theory, 2017
IEEE Trans. Inf. Theory, 2017
Equivocations, Exponents, and Second-Order Coding Rates Under Various Rényi Information Measures.
IEEE Trans. Inf. Theory, 2017
A Proof of the Strong Converse Theorem for Gaussian Broadcast Channels via the Gaussian Poincaré Inequality.
IEEE Trans. Inf. Theory, 2017
A Tight Upper Bound on the Second-Order Coding Rate of the Parallel Gaussian Channel With Feedback.
IEEE Trans. Inf. Theory, 2017
Achievable Rates for Gaussian Degraded Relay Channels With Non-Vanishing Error Probabilities.
IEEE Trans. Inf. Theory, 2017
SIAM J. Discret. Math., 2017
Scaling Exponent and Moderate Deviations Asymptotics of Polar Codes for the AWGN Channel.
Entropy, 2017
The Dispersion of Universal Joint Source-Channel Coding for Arbitrary Sources and Additive Channels.
CoRR, 2017
Time-Division Transmission is Optimal for Covert Communication over Broadcast Channels.
CoRR, 2017
Lower Bounds on the Bayes Risk of the Bayesian BTL Model with Applications to Random Graphs.
CoRR, 2017
CoRR, 2017
On the Reliability Function of the Common-Message Broadcast Channel with Variable-Length Feedback.
CoRR, 2017
CoRR, 2017
Stochastic L-BFGS Revisited: Improved Convergence Rates and Practical Acceleration Strategies.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the 2017 IEEE Information Theory Workshop, 2017
Proceedings of the 2017 IEEE Information Theory Workshop, 2017
A tight upper bound on the second-order coding rate of parallel Gaussian channels with feedback.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017
Distance spectrum formula for the largest minimum hamming distance of finite-length binary block codes.
Proceedings of the 2017 IEEE Information Theory Workshop, 2017
Proceedings of the 2017 IEEE Information Theory Workshop, 2017
Proceedings of the 2017 IEEE Information Theory Workshop, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Error exponent of the common-message broadcast channel with variable-length feedback.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
Coding for the permutation channel with insertions, deletions, substitutions, and erasures.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017
A unified convergence analysis of the multiplicative update algorithm for nonnegative matrix factorization.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Relative error bounds for nonnegative matrix factorization under a geometric assumption.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
IEEE Trans. Inf. Theory, 2016
Strong Converse Theorems for Classes of Multimessage Multicast Networks: A Rényi Divergence Approach.
IEEE Trans. Inf. Theory, 2016
IEEE Trans. Inf. Theory, 2016
IEEE Trans. Inf. Theory, 2016
Non-Asymptotic Achievable Rates for Energy-Harvesting Channels Using Save-and-Transmit.
IEEE J. Sel. Areas Commun., 2016
IEEE J. Sel. Areas Commun., 2016
CoRR, 2016
CoRR, 2016
CoRR, 2016
Second-order coding region for the discrete successive refinement source coding problem.
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
On second-order asymptotics of AWGN channels with feedback under the expected power constraint.
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the IEEE International Symposium on Information Theory, 2016
A non-asymptotic achievable rate for the AWGN energy-harvesting channel using save-and-transmit.
Proceedings of the IEEE International Symposium on Information Theory, 2016
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
2015
Nonasymptotic and Second-Order Achievability Bounds for Coding With Side-Information.
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Inf. Theory, 2015
IEEE Trans. Inf. Theory, 2015
The Sender-Excited Secret Key Agreement Model: Capacity, Reliability, and Secrecy Exponents.
IEEE Trans. Inf. Theory, 2015
Information Spectrum Approach to Strong Converse Theorems for Degraded Wiretap Channels.
IEEE Trans. Inf. Forensics Secur., 2015
CoRR, 2015
Proceedings of the 2015 IEEE Information Theory Workshop, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the IEEE International Symposium on Information Theory, 2015
Asymptotic expansions for the AWGN channel with feedback under a peak power constraint.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015
2014
A Parsimonious Mixture of Gaussian Trees Model for Oversampling in Imbalanced and Multimodal Time-Series Classification.
IEEE Trans. Neural Networks Learn. Syst., 2014
IEEE Trans. Inf. Theory, 2014
IEEE Trans. Commun., 2014
IEEE Signal Process. Lett., 2014
Found. Trends Commun. Inf. Theory, 2014
Asymptotic Expansions for Gaussian Channels with Feedback under a Peak Power Constraint.
CoRR, 2014
Second order refinements for the classical capacity of quantum channels with separable input states.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Moderate deviations for joint source-channel coding of systems with Markovian memory.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
On mismatched unequal message protection for finite block length joint source-channel coding.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Second-order asymptotics for the Gaussian interference channel with strictly very strong interference.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
IEEE Trans. Signal Process., 2013
A Tight Upper Bound for the Third-Order Asymptotics for Most Discrete Memoryless Channels.
IEEE Trans. Inf. Theory, 2013
Automatic Relevance Determination in Nonnegative Matrix Factorization with the $(\beta)$-Divergence.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
CoRR, 2013
Non-Asymptotic and Second-Order Achievability Bounds for Coding With Side-Information
CoRR, 2013
MOGT: Oversampling with a parsimonious mixture of Gaussian trees model for imbalanced time-series classification.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Proceedings of the 2013 IEEE Information Theory Workshop, 2013
Non-asymptotic and second-order achievability bounds for source coding with side-information.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
Wireless compressive sensing for energy harvesting sensor nodes over fading channels.
Proceedings of IEEE International Conference on Communications, 2013
2012
Rank Minimization Over Finite Fields: Fundamental Limits and Coding-Theoretic Interpretations.
IEEE Trans. Inf. Theory, 2012
High-dimensional Gaussian graphical model selection: walk summability and local separation criterion.
J. Mach. Learn. Res., 2012
The Capacity of the General Gel'fand-Pinsker Channel and Achievable Second-Order Coding Rates
CoRR, 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
Proceedings of the IEEE International Conference on Communication Systems, 2012
Transmission of correlated sources over a MAC: A Gaussian approximation-based analysis.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012
2011
Large-deviation analysis and applications Of learning tree-structured graphical models.
PhD thesis, 2011
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures.
IEEE Trans. Inf. Theory, 2011
J. Mach. Learn. Res., 2011
CoRR, 2011
CoRR, 2011
CoRR, 2011
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
IEEE Trans. Signal Process., 2010
IEEE Trans. Signal Process., 2010
Necessary and sufficient conditions for high-dimensional salient feature subset recovery.
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the IEEE International Symposium on Information Theory, 2010
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
How do the structure and the parameters of Gaussian tree models affect structure learning?
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
2008
Estimating Signals With Finite Rate of Innovation From Noisy Samples: A Stochastic Algorithm.
IEEE Trans. Signal Process., 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
Proceedings of the Fourth International Conference on e-Science, 2008
2007
Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers.
Proceedings of the Privacy, 2007