Publications of Galen Reeves :chronological alphabetical combined bibtex listing:
Papers Published
- Reeves, G; Pfister, HD. "Reed-Muller Codes on BMS Channels Achieve Vanishing Bit-Error Probability for all Rates Below Capacity." IEEE Transactions on Information Theory 70.2 (February, 2024): 920-949. [doi] [abs]
- Reeves, G; Pfister, HD. "Achieving Capacity on Non-Binary Channels with Generalized Reed-Muller Codes." IEEE International Symposium on Information Theory - Proceedings 2023-June (January, 2023): 2057-2062. [doi] [abs]
- Van Den Boom, W; Reeves, G; Dunson, DB. "Erratum: Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation (Biometrika (2021) 108 (269-282) DOI: 10.1093/biomet/asaa068)." Biometrika 109.1 (March, 2022): 275. [doi] [abs]
- Behne, JK; Reeves, G. "Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity." Proceedings of Machine Learning Research 151 (January, 2022): 8650-8672. [abs]
- Goldfeld, Z; Greenewald, K; Nuradha, T; Reeves, G. "k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension." Advances in Neural Information Processing Systems 35 (January, 2022). [abs]
- Kipnis, A; Reeves, G. "Gaussian Approximation of Quantization Error for Estimation from Compressed Data." IEEE Transactions on Information Theory 67.8 (August, 2021): 5562-5579. [doi] [abs]
- VAN DEN Boom, W; Reeves, G; Dunson, DB. "Approximating posteriors with high-dimensional nuisance parameters via integrated rotated Gaussian approximation.." Biometrika 108.2 (June, 2021): 269-282. [doi] [abs]
- Zhang, Y; Cheng, X; Reeves, G. "Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples." Proceedings of Machine Learning Research 130 (January, 2021): 2422-2430. [abs]
- Goldt, S; Loureiro, B; Reeves, G; Krzakala, F; Mézard, M; Zdeborová, L. "The Gaussian equivalence of generative models for learning with shallow neural networks." Proceedings of Machine Learning Research 145 (January, 2021): 426-471. [abs]
- Reeves, G. "A Two-Moment Inequality with Applications to Rényi Entropy and Mutual Information.." Entropy (Basel, Switzerland) 22.11 (November, 2020): E1244. [doi] [abs]
- Reeves, G. "Information-theoretic limits for the matrix tensor product." IEEE Journal on Selected Areas in Information Theory 1.3 (November, 2020): 777-798. [doi] [abs]
- Barbier, J; Reeves, G. "Information-theoretic limits of a multiview low-rank symmetric spiked matrix model." IEEE International Symposium on Information Theory - Proceedings 2020-June (June, 2020): 2771-2776. [doi] [abs]
- Mathews, H; Mayya, V; Volfovsky, A; Reeves, G. "Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise." 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings (December, 2019): 699-703. [doi] [abs]
- Reeves, G; Xu, J; Zadik, I. "All-or-Nothing Phenomena: From Single-Letter to High Dimensions." 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings (December, 2019): 654-658. [doi] [abs]
- Mayya, V; Reeves, G. "Mutual Information in Community Detection with Covariate Information and Correlated Networks." 2019 57th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2019 (September, 2019): 602-607. [doi] [abs]
- Reeves, G; Mayya, V; Volfovsky, A. "The Geometry of Community Detection via the MMSE Matrix." IEEE International Symposium on Information Theory - Proceedings 2019-July (July, 2019): 400-404. [doi] [abs]
- Kipnis, A; Reeves, G. "Gaussian Approximation of Quantization Error for Estimation from Compressed Data." IEEE International Symposium on Information Theory - Proceedings 2019-July (July, 2019): 2029-2033. [doi] [abs]
- Reeves, G; Pfister, HD. "The Replica-Symmetric Prediction for Random Linear Estimation With Gaussian Matrices Is Exact." IEEE Transactions on Information Theory 65.4 (April, 2019): 2252-2283. [doi] [abs]
- Bertran, M; Martinez, N; Papadaki, A; Qiu, Q; Rodrigues, M; Reeves, G; Sapiro, G. "Adversarially learned representations for information obfuscation and inference." 36th International Conference on Machine Learning, ICML 2019 2019-June (January, 2019): 960-974. [abs]
- Reeves, G; Xu, J; Zadik, I. "The All-or-Nothing Phenomenon in Sparse Linear Regression." Proceedings of Machine Learning Research 99.3-4 (January, 2019): 2652-2663. [doi] [abs]
- Reeves, G; Pfister, HD; Dytso, A. "Mutual Information as a Function of Matrix SNR for Linear Gaussian Channels." IEEE International Symposium on Information Theory - Proceedings 2018-June (August, 2018): 1754-1758. [doi] [abs]
- Kipnis, A; Reeves, G; Eldar, YC. "Single Letter Formulas for Quantized Compressed Sensing with Gaussian Codebooks." IEEE International Symposium on Information Theory - Proceedings 2018-June (August, 2018): 71-75. [doi] [abs]
- Kipnis, A; Reeves, G; Eldar, YC; Goldsmith, AJ. "Compressed sensing under optimal quantization." IEEE International Symposium on Information Theory - Proceedings (August, 2017): 2148-2152. [doi] [abs]
- Reeves, G. "Two-moment inequalities for Rényi entropy and mutual information." IEEE International Symposium on Information Theory - Proceedings (August, 2017): 664-668. [doi] [abs]
- Reeves, G. "Conditional central limit theorems for Gaussian projections." IEEE International Symposium on Information Theory - Proceedings (August, 2017): 3045-3049. [doi] [abs]
- Mainsah, BO; Reeves, G; Collins, LM; Throckmorton, CS. "Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction.." Journal of neural engineering 14.4 (August, 2017): 046025. [doi] [abs]
- Reeves, G. "Additivity of information in multilayer networks via additive Gaussian noise transforms." 55th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2017 2018-January (July, 2017): 1064-1070. [doi] [abs]
- Mainsah, BO; Collins, LM; Reeves, G; Throckmorton, CS. "A performance-based approach to designing the stimulus presentation paradigm for the P300-based BCI by exploiting coding theory." ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (June, 2017): 3026-3030. [doi] [abs]
- Mayya, V; Mainsah, B. "Information Theoretic Analysis of the Impact of Refractory Effects on the P300 Speller." (March, 2017): 1621-1625. [doi] [abs]
- Mayya, V; Mainsah, B; Reeves, G. "Modeling the P300-based brain-computer interface as a channel with memory." 54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016 (February, 2017): 23-30. [doi] [abs]
- Renna, F; Wang, L; Yuan, X; Yang, J; Reeves, G; Calderbank, R; Carin, L; Rodrigues, MRD. "Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information." IEEE Transactions on Information Theory 62.11 (November, 2016): 6459-6492. [doi] [abs]
- Reeves, G; Pfister, HD. "The replica-symmetric prediction for compressed sensing with Gaussian matrices is exact." IEEE International Symposium on Information Theory - Proceedings 2016-August (August, 2016): 665-669. [doi] [abs]
- Llull, P; Reeves, G; Carin, L; Brady, DJ. "Performance assessment of image translation-engineered point spread functions." Optics InfoBase Conference Papers Part F7-COSI 2016 (July, 2016). [doi] [abs]
- Renna, F; Wang, L; Yuan, X; Yang, J; Reeves, G; Calderbank, R; Carin, L; Rodrigues, MRD. "Classification and reconstruction of compressed GMM signals with side information." IEEE International Symposium on Information Theory - Proceedings 2015-June (September, 2015): 994-998. [doi] [abs]
- Van Den Boom, W; Dunson, D; Reeves, G. "Quantifying uncertainty in variable selection with arbitrary matrices." 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 (January, 2015): 385-388. [doi] [abs]
- Reeves, G. "The fundamental limits of stable recovery in compressed sensing." IEEE International Symposium on Information Theory - Proceedings (January, 2014): 3017-3021. [doi] [abs]
- Reeves, G. "Beyond sparsity: Universally stable compressed sensing when the number of 'free' values is less than the number of observations." 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013 (December, 2013): 17-20. [doi] [abs]
- Reeves, G; Gastpar, MC. "Approximate sparsity pattern recovery: Information-theoretic lower bounds." IEEE Transactions on Information Theory 59.6 (May, 2013): 3451-3465. [doi] [abs]
- Donoho, D; Reeves, G. "Achieving Bayes MMSE performance in the sparse signal + Gaussian white noise model when the noise level is unknown." IEEE International Symposium on Information Theory - Proceedings (January, 2013): 101-105. [doi] [abs]
- Reeves, G; Donoho, D. "The minimax noise sensitivity in compressed sensing." IEEE International Symposium on Information Theory - Proceedings (January, 2013): 116-120. [doi] [abs]
- Reeves, G; Gastpar, M. "Compressed sensing phase transitions: Rigorous bounds versus replica predictions." 2012 46th Annual Conference on Information Sciences and Systems, CISS 2012 (November, 2012). [doi] [abs]
- Donoho, D; Reeves, G. "The sensitivity of compressed sensing performance to relaxation of sparsity." IEEE International Symposium on Information Theory - Proceedings (October, 2012): 2211-2215. [doi] [abs]
- Reeves, G; Gastpar, M. "The sampling rate-distortion tradeoff for sparsity pattern recovery in compressed sensing." IEEE Transactions on Information Theory 58.5 (May, 2012): 3065-3092. [doi] [abs]
- Reeves, G; Goela, N; Milosavljevic, N; Gastpar, M. "A compressed sensing wire-tap channel." 2011 IEEE Information Theory Workshop, ITW 2011 (December, 2011): 548-552. [doi] [abs]
- Reeves, G; Gastpar, M. "On the role of diversity in sparsity estimation." IEEE International Symposium on Information Theory - Proceedings (October, 2011): 119-123. [doi] [abs]
- Reeves, G; Gastpar, M. ""Compressed" compressed sensing." IEEE International Symposium on Information Theory - Proceedings (August, 2010): 1548-1552. [doi] [abs]
- Reeves, G; Gastpar, M. "A note on optimal support recovery in compressed sensing." Conference Record - Asilomar Conference on Signals, Systems and Computers (December, 2009): 1576-1580. [doi] [abs]
- Reeves, G; Liu, J; Nath, S; Zhao, F. "Managing massive time series streams with multi-scale compressed trickles." Proceedings of the VLDB Endowment 2.1 (January, 2009): 97-108. [doi] [abs]
- Reeves, G; Gastpar, M. "Sampling bounds for sparse support recovery in the presence of noise." IEEE International Symposium on Information Theory - Proceedings (September, 2008): 2187-2191. [doi] [abs]
- Reeves, G; Gastpar, M. "Differences between observation and sampling error in sparse signal reconstruction." IEEE Workshop on Statistical Signal Processing Proceedings (December, 2007): 690-694. [doi] [abs]
Chapters