Jonathan Scarlett

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

Quantile Multi-Armed Bandits with 1-bit Feedback.

[BibT_eX]

[DOI]

Ivan Lau

Proceedings of the International Conference on Algorithmic Learning Theory, 2025

2024

Optimal 1-bit Error Exponent for 2-Hop Relaying With Binary-Input Channels.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, November, 2024

Concomitant Group Testing.

[BibT_eX]

[DOI]

Thach V. Bui

IEEE Trans. Inf. Theory, October, 2024

Maxflow-Based Bounds for Low-Rate Information Propagation Over Noisy Networks.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, June, 2024

Regret Bounds for Noise-Free Cascaded Kernelized Bandits.

[BibT_eX]

[DOI]

Zihan Li

Trans. Mach. Learn. Res., 2024

Mismatched Rate-Distortion Theory: Ensembles, Bounds, and General Alphabets.

[BibT_eX]

[DOI]

Millen Kanabar

IEEE Trans. Inf. Theory, 2024

Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2024

Lower Bounds for Time-Varying Kernelized Bandits.

[BibT_eX]

[DOI]

CoRR, 2024

Exact Error Exponents of Concatenated Codes for DNA Storage.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Instance Optimal Phase-Only Compressed Sensing.

[BibT_eX]

[DOI]

CoRR, 2024

Complexity of Round-Robin Allocation with Potentially Noisy Queries.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Game Theory - 17th International Symposium, 2024

Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Exact Error Exponents for a Concatenated Coding Based Class of DNA Storage Codes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints.

[BibT_eX]

[DOI]

Arpan Losalka

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-Bit Relaying Over a Tandem of Channels.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, June, 2023

Performance Bounds for Group Testing With Doubly-Regular Designs.

[BibT_eX]

[DOI]

Way Tan

IEEE Trans. Inf. Theory, February, 2023

On Average-Case Error Bounds for Kernel-Based Bayesian Quadrature.

[BibT_eX]

[DOI]

Chi Thanh Lam

Trans. Mach. Learn. Res., 2023

Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing.

[BibT_eX]

[DOI]

Ramji Venkataramanan

CoRR, 2023

Benefits of monotonicity in safe exploration with Gaussian processes.

[BibT_eX]

[DOI]

Arpan Losalka

Proceedings of the Uncertainty in Artificial Intelligence, 2023

A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Communication-Constrained Bandits under Additive Gaussian Noise.

[BibT_eX]

[DOI]

Prathamesh Mayekar

Proceedings of the International Conference on Machine Learning, 2023

For One and All: Individual and Group Fairness in the Allocation of Indivisible Goods.

[BibT_eX]

[DOI]

Nicholas Teh

Yair Zick

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Max-Quantile Grouped Infinite-Arm Bandits.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

Theoretical Perspectives on Deep Learning Methods in Inverse Problems.

[BibT_eX]

[DOI]

Reinhard Heckel

Miguel R. D. Rodrigues

Paul Hand

Yonina C. Eldar

IEEE J. Sel. Areas Inf. Theory, September, 2022

Guest Editorial.

[BibT_eX]

[DOI]

Paul Hand

Reinhard Heckel

IEEE J. Sel. Areas Inf. Theory, September, 2022

Tight Regret Bounds for Noisy Optimization of a Brownian Motion.

[BibT_eX]

[DOI]

Zexin Wang

IEEE Trans. Signal Process., 2022

Model-Based and Graph-Based Priors for Group Testing.

[BibT_eX]

[DOI]

Ivan Lau

Yang Sun

IEEE Trans. Signal Process., 2022

Noisy Adaptive Group Testing via Noisy Binary Search.

[BibT_eX]

[DOI]

Bernard Teo

IEEE Trans. Inf. Theory, 2022

Simple Coding Techniques for Many-Hop Relaying.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

Near-Optimal Sparsity-Constrained Group Testing: Improved Bounds and Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

Order-Optimal Error Bounds for Noisy Kernel-Based Bayesian Quadrature.

[BibT_eX]

[DOI]

Chi Thanh Lam

CoRR, 2022

A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Simple Coding Scheme Attaining Positive Information Velocity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Multi-User Random Coding Techniques for Mismatched Rate-Distortion Theory.

[BibT_eX]

[DOI]

Millen Kanabar

Proceedings of the IEEE International Symposium on Information Theory, 2022

Group Testing with Blocks of Positives.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Universal 1-Bit Compressive Sensing for Bounded Dynamic Range Signals.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Adversarial Attacks on Gaussian Process Bandits.

[BibT_eX]

[DOI]

Eric Han

Proceedings of the International Conference on Machine Learning, 2022

Generative Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Data-Driven Algorithms for Gaussian Measurement Matrix Design in Compressive Sensing.

[BibT_eX]

[DOI]

Yang Sun

Proceedings of the IEEE International Conference on Acoustics, 2022

Gaussian Process Bandit Optimization with Few Batches.

[BibT_eX]

[DOI]

Zihan Li

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Max-Min Grouped Bandits.

[BibT_eX]

[DOI]

Zhenlin Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Optimal Rates of Teaching and Learning Under Uncertainty.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Sublinear-Time Non-Adaptive Group Testing With O(k log n) Tests via Bit-Mixing Coding.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

On Architecture Selection for Linear Inverse Problems with Untrained Neural Networks.

[BibT_eX]

[DOI]

Yang Sun

Hangdong Zhao

Entropy, 2021

Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors.

[BibT_eX]

[DOI]

CoRR, 2021

Fast Splitting Algorithms for Sparsity-Constrained and Noisy Group Testing.

[BibT_eX]

[DOI]

Eric Price

CoRR, 2021

Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors.

[BibT_eX]

[DOI]

Subhroshekhar Ghosh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust 1-bit Compressive Sensing with Partial Gaussian Circulant Matrices and Generative Priors.

[BibT_eX]

[DOI]

Subhroshekhar Ghosh

Proceedings of the IEEE Information Theory Workshop, 2021

An Analysis of the DD Algorithm for Group Testing with Size-Constrained Tests.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Optimal Rates of Teaching and Learning Under Binary Symmetric Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Lenient Regret and Good-Action Identification in Gaussian Process Bandits.

[BibT_eX]

[DOI]

Selwyn Gomes

Proceedings of the 38th International Conference on Machine Learning, 2021

Open Problem: Tight Online Confidence Intervals for RKHS Elements.

[BibT_eX]

[DOI]

Sattar Vakili

Tara Javidi

Proceedings of the Conference on Learning Theory, 2021

Stochastic Linear Bandits Robust to Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

High-Dimensional Bayesian Optimization via Tree-Structured Additive Models.

[BibT_eX]

[DOI]

Eric Han

Ishank Arora

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Support Recovery in the Phase Retrieval Model: Information-Theoretic Fundamental Limit.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2020

Noisy Non-Adaptive Group Testing: A (Near-)Definite Defectives Approach.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2020

On the All-or-Nothing Behavior of Bernoulli Group Testing.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

Information-Theoretic Lower Bounds for Compressive Sensing With Generative Models.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

Information-Theoretic Foundations of Mismatched Decoding.

[BibT_eX]

[DOI]

Found. Trends Commun. Inf. Theory, 2020

On Gap-Based Lower Bounding Techniques for Best-Arm Identification.

[BibT_eX]

[DOI]

Entropy, 2020

Non-Adaptive Group Testing in the Linear Regime: Strong Converse and Approximate Recovery.

[BibT_eX]

[DOI]

Bay Wei Heng

CoRR, 2020

Improved Bounds and Algorithms for Sparsity-Constrained Group Testing.

[BibT_eX]

[DOI]

CoRR, 2020

On the All-Or-Nothing Behavior of Bernoulli Group Testing.

[BibT_eX]

[DOI]

CoRR, 2020

Sample Complexity Lower Bounds for Compressive Sensing with Generative Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Signal Processing and Communications, 2020

The Generalized Lasso with Nonlinear Observations and Generative Priors.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Near-Optimal Sparse Adaptive Group Testing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

A Characteristic Function Approach to Deep Implicit Generative Modeling.

[BibT_eX]

[DOI]

Abdul Fatir Ansari

Harold Soh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Fast Binary Splitting Approach to Non-Adaptive Group Testing.

[BibT_eX]

[DOI]

Eric Price

Proceedings of the Approximation, 2020

Learning Gaussian Graphical Models via Multiplicative Weights.

[BibT_eX]

[DOI]

Anamay Chaturvedi

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Corruption-Tolerant Gaussian Process Bandit Optimization.

[BibT_eX]

[DOI]

Andreas Krause

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

A MaxSAT-Based Framework for Group Testing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Generalized Random Gilbert-Varshamov Codes.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Noisy Adaptive Group Testing: Bounds and Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Performance of Group Testing Algorithms With Near-Constant Tests Per Item.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Group Testing: An Information Theory Perspective.

[BibT_eX]

[DOI]

Found. Trends Commun. Inf. Theory, 2019

Support Recovery in the Phase Retrieval Model: Information-Theoretic Fundamental Limits.

[BibT_eX]

[DOI]

CoRR, 2019

An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Erdos-Renyi Random Graphs via Edge Detecting Queries.

[BibT_eX]

[DOI]

Zihan Li

Matthias Fresacher

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Information-Theoretic Limits of Noisy Sparse Phase Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Information Theory Workshop, 2019

A Recursive Cost-Constrained Construction that Attains the Expurgated Exponent.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Overlapping Multi-Bandit Best Arm Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

An Efficient Algorithm for Capacity-Approaching Noisy Adaptive Group Testing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Cross-sender bit-mixing coding.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

2018

Learning-Based Compressive MRI.

[BibT_eX]

[DOI]

Baran Gozcu

Rabeeh Karimi Mahabadi

IEEE Trans. Medical Imaging, 2018

Mismatched Multi-Letter Successive Decoding for the Multiple-Access Channel.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

Near-Optimal Noisy Group Testing via Separate Decoding of Items.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2018

Adversarially Robust Optimization with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

The Error Exponent of Generalized Random-Gilbert Varshamov Codes.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Tight Regret Bounds for Bayesian Optimization in One Dimension.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

The error exponent of random gilbert-varshamov codes.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels.

[BibT_eX]

[DOI]

Giuseppe Durisi

IEEE Trans. Inf. Theory, 2017

Limits on Support Recovery With Probabilistic Models: An Information-Theoretic Framework.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework.

[BibT_eX]

[DOI]

CoRR, 2017

An adaptive sublinear-time block sparse fourier transform.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017

Phase Transitions in the Pooled Data Problem.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Expurgated joint source-channel coding bounds and error exponents.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Robust Submodular Maximization: A Non-Uniform Partitioning Approach.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

How little does non-exact recovery help in group testing?

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization.

[BibT_eX]

[DOI]

Proceedings of the 30th Conference on Learning Theory, 2017

A distributed algorithm for partitioned robust submodular maximization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Lower Bounds on Active Learning for Graphical Model Selection.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

On the Difficulty of Selecting Ising Models With Approximate Recovery.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2016

Multiuser Random Coding Techniques for Mismatched Decoding.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2016

Learning-Based Compressive Subsampling.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2016

Performance of group testing algorithms with constant tests-per-item.

[BibT_eX]

[DOI]

CoRR, 2016

Phase Transitions in Group Testing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Converse bounds for noisy group testing with arbitrary measurement matrices.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

Partial recovery bounds for the sparse stochastic block model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

Improved group testing rates with constant column weight designs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

Limits on Sparse Support Recovery via Linear Sketching with Random Expander Matrices.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Time-Varying Gaussian Process Bandit Optimization.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Second-Order Asymptotics for the Gaussian MAC With Degraded Message Sets.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

A Counter-Example to the Mismatched Decoding Converse for Binary-Input Discrete Memoryless Channels.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

Second-Order Rate Region of Constant-Composition Codes for the Multiple-Access Channel.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

On the Dispersions of the Gel'fand-Pinsker Channel and Dirty Paper Coding.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

Limits on Support Recovery with Probabilistic Models: An Information-Spectrum Approach.

[BibT_eX]

[DOI]

CoRR, 2015

Second-order asymptotics for the discrete memoryless MAC with degraded message sets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

Refinements of the third-order term in the fixed error asymptotics of constant-composition codes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

The likelihood decoder: Error exponents and mismatch.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

Active learning of self-concordant like multi-index functions.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Sparsistency of 1-Regularized M-Estimators.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Expurgated Random-Coding Ensembles: Exponents, Refinements, and Connections.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

Mismatched Decoding: Error Exponents, Second-Order Rates and Saddlepoint Approximations.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

The Saddlepoint Approximation: A Unification of Exponents, Dispersions and Moderate Deviations.

[BibT_eX]

[DOI]

CoRR, 2014

A complex-integration approach to the saddlepoint approximation for random-coding bounds.

[BibT_eX]

[DOI]

Marco Dalai

Proceedings of the 11th International Symposium on Wireless Communications Systems, 2014

The saddlepoint approximation: Unified random coding asymptotics for fixed and varying rates.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

On the dispersion of dirty paper coding.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

Compressed Sensing With Prior Information: Information-Theoretic Limits and Practical Decoders.

[BibT_eX]

[DOI]

Jamie S. Evans

Subhrakanti Dey

IEEE Trans. Signal Process., 2013

Mismatched Decoding: Finite-Length Bounds, Error Exponents and Approximations

[BibT_eX]

[DOI]

CoRR, 2013

Multiuser Coding Techniques for Mismatched Decoding.

[BibT_eX]

[DOI]

CoRR, 2013

Second-Order Rate of Constant-Composition Codes for the Gel'fand-Pinsker Channel.

[BibT_eX]

[DOI]

CoRR, 2013

Cost-constrained random coding and applications.

[BibT_eX]

[DOI]

Proceedings of the 2013 Information Theory and Applications Workshop, 2013

The mismatched multiple-access channel: General alphabets.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Superposition codes for mismatched decoding.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

A derivation of the asymptotic random-coding prefactor.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Ensemble-tight error exponents for mismatched decoders.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

An achievable error exponent for the mismatched multiple-access channel.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

On the Tradeoff Between Multiuser Diversity and Training Overhead in Multiple Access Channels

[BibT_eX]

[DOI]

Jamie S. Evans

Subhrakanti Dey

CoRR, 2011

How much training is needed in fading multiple access channels?

[BibT_eX]

[DOI]