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- Alex Dytso
aka: Alex R. Dytso
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Publication search results
found 139 matches
- 2024
- Minoh Jeong, Alex Dytso, Martina Cardone:
Retrieving Data Permutations From Noisy Observations: Asymptotics. IEEE Trans. Inf. Theory 70(4): 2999-3017 (2024) - Antonino Favano, Luca Barletta, Alex Dytso, Gerhard Kramer:
Capacity-Achieving Input of Non-Coherent Rayleigh Fading Channels: Bounds on the Number of Mass Points. ICC 2024: 4126-4131 - Antonino Favano, Luca Barletta, Alex Dytso, Gerhard Kranner:
Properties of the Capacity-Achieving Input of Non-Coherent Rayleigh Fading Channels. WCNC 2024: 1-6 - Alex Dytso, Martina Cardone:
Uniform Distribution on (n-1)-Sphere: Rate-Distortion under Squared Error Distortion. CoRR abs/2401.04248 (2024) - Luca Barletta, Alex Dytso, Shlomo Shamai:
Improved Bounds on the Number of Support Points of the Capacity-Achieving Input for Amplitude Constrained Poisson Channels. CoRR abs/2401.05045 (2024) - Ian Zieder, Antonino Favano, Luca Barletta, Alex Dytso:
Binomial Channel: On the Capacity-Achieving Distribution and Bounds on the Capacity. CoRR abs/2401.12818 (2024) - Minoh Jeong, Martina Cardone, Alex Dytso:
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels. CoRR abs/2401.15500 (2024) - Leighton Pate Barnes, Alex Dytso, Jingbo Liu, H. Vincent Poor:
Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise. CoRR abs/2401.16701 (2024) - Alex Dytso, Luca Barletta, Gerhard Kramer:
On 2×2 MIMO Gaussian Channels with a Small Discrete-Time Peak-Power Constraint. CoRR abs/2401.17084 (2024) - Minoh Jeong, Alex Dytso, Martina Cardone:
A Comprehensive Study on Ziv-Zakai Lower Bounds on the MMSE. CoRR abs/2404.04366 (2024) - 2023
- Antonino Favano, Luca Barletta, Alex Dytso:
Amplitude Constrained Vector Gaussian Wiretap Channel: Properties of the Secrecy-Capacity-Achieving Input Distribution. Entropy 25(5): 741 (2023) - Michael Fauß, Alex Dytso, H. Vincent Poor:
A Kullback-Leibler Divergence Variant of the Bayesian Cramér-Rao Bound. Signal Process. 207: 108933 (2023) - Martina Cardone, Alex Dytso, Cynthia Rush:
Entropic Central Limit Theorem for Order Statistics. IEEE Trans. Inf. Theory 69(4): 2193-2205 (2023) - Alex Dytso, Martina Cardone, Ian Zieder:
Meta Derivative Identity for the Conditional Expectation. IEEE Trans. Inf. Theory 69(7): 4284-4302 (2023) - Alex Dytso, H. Vincent Poor, Shlomo Shamai Shitz:
Conditional Mean Estimation in Gaussian Noise: A Meta Derivative Identity With Applications. IEEE Trans. Inf. Theory 69(3): 1883-1898 (2023) - Mohammadamin Baniasadi, Yu Chen, Alex Dytso, Luca Barletta, Majid Safari:
A Lower Bound on the Capacity of $b-\text{Modulated}$ NFDM Systems. GLOBECOM 2023: 4399-4404 - Jaimin Shah, Martina Cardone, Alex Dytso, Cynthia Rush:
When is Mimo Massive in Radar? ICASSP 2023: 1-5 - Leighton Pate Barnes, Alex Dytso, H. Vincent Poor:
L1 Estimation in Gaussian Noise: On the Optimality of Linear Estimators. ISIT 2023: 1872-1877 - Min-Oh Jeong, Alex Dytso, Martina Cardone:
Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs. ISIT 2023: 2087-2092 - Minoh Jeong, Martina Cardone, Alex Dytso:
Demystifying the Optimal Performance of Multi-Class Classification. NeurIPS 2023 - Min-Oh Jeong, Alex Dytso, Martina Cardone:
Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs. CoRR abs/2305.02970 (2023) - Leighton Pate Barnes, Alex Dytso, Jingbo Liu, H. Vincent Poor:
L1 Estimation: On the Optimality of Linear Estimators. CoRR abs/2309.09129 (2023) - 2022
- Leighton Pate Barnes, Alex Dytso, Harold Vincent Poor:
Improved Information-Theoretic Generalization Bounds for Distributed, Federated, and Iterative Learning. Entropy 24(9): 1178 (2022) - Alex Dytso, Martina Cardone, Ian Zieder:
High-Noise Asymptotics of the Ziv-Zakai Bound. IEEE Signal Process. Lett. 29: 1933-1937 (2022) - Alex Dytso, Michael Fauß, H. Vincent Poor:
Bayesian Risk With Bregman Loss: A Cramér-Rao Type Bound and Linear Estimation. IEEE Trans. Inf. Theory 68(3): 1985-2000 (2022) - Min-Oh Jeong, Alex Dytso, Martina Cardone:
Ranking Recovery under Privacy Considerations. Trans. Mach. Learn. Res. 2022 (2022) - Tang Liu, Alex Dytso, H. Vincent Poor, Shlomo Shamai:
Consistent Estimation of Conditional Cumulants in the Empirical Bayes Framework (Extended Abstract). IEEECONF 2022: 1036-1037 - Alex R. Dytso, Mario Goldenbaum, H. Vincent Poor, Shlomo Shamai:
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence. AISTATS 2022: 8080-8094 - Luca Barletta, Alex Dytso:
Poisson Noise Channel with Dark Current: Numerical Computation of the Optimal Input Distribution. ICC 2022: 4812-4817 - Leighton Pate Barnes, Alex Dytso, H. Vincent Poor:
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning. ISIT 2022: 1465-1470
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