Nir Weinberger

Orcid: 0000-0001-6028-8892

According to our database1, Nir Weinberger authored at least 70 papers between 2008 and 2025.

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Bibliography

2025
Information Rates Over Multi-View Channels.
IEEE Trans. Inf. Theory, February, 2025

BICompFL: Stochastic Federated Learning with Bi-Directional Compression.
CoRR, February, 2025

Achievable Rates and Error Probability Bounds of Frequency-Based Channels of Unlimited Input Resolution.
IEEE J. Sel. Areas Inf. Theory, 2025

On Achievable Rates Over Noisy Nanopore Channels.
IEEE J. Sel. Areas Inf. Theory, 2025

Error Exponents for DNA Storage Codes With a Variable Number of Reads.
IEEE J. Sel. Areas Inf. Theory, 2025

Input Optimization in the Composite DNA Storage Channel.
IEEE J. Sel. Areas Inf. Theory, 2025

A Toolbox for Refined Information-Theoretic Analyses.
Found. Trends Commun. Inf. Theory, 2025

Exploration-Exploitation Tradeoff in Universal Lossy Compression.
Proceedings of the IEEE International Symposium on Information Theory, 2025

Entropy Estimation from Queries and Auxiliary Distribution Samples.
Proceedings of the IEEE International Symposium on Information Theory, 2025

Achievable Rates of Frequency-based Channels of Unlimited Input Resolution.
Proceedings of the IEEE International Symposium on Information Theory, 2025

Optimal Overlap Detection of Shotgun Reads.
Proceedings of the IEEE International Symposium on Information Theory, 2025

DeepDIVE: Optimizing Input-Constrained Distributions for Composite DNA Storage via Multinomial Channel.
Proceedings of the IEEE International Symposium on Information Theory, 2025

Mean Estimation in High-Dimensional Binary Timeinhomogeneous Markov Gaussian Mixture Models.
Proceedings of the IEEE International Symposium on Information Theory, 2025

Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel with Correlated Priors.
Proceedings of the IEEE International Symposium on Information Theory, 2025

When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

On Bits and Bandits: Quantifying the Regret-Information Trade-off.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
A Toolbox for Refined Information-Theoretic Analyses with Applications.
CoRR, 2024

Information Rates Over DMCs with Many Independent Views.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Capacity of Frequency-based Channels: Encoding Information in Molecular Concentrations.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Capacity-Maximizing Input Symbol Selection for Discrete Memoryless Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2024

A representation-learning game for classes of prediction tasks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting - An Analytical Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Statistical curriculum learning: An elimination algorithm achieving an oracle risk.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Multi-Armed Bandits With Self-Information Rewards.
IEEE Trans. Inf. Theory, November, 2023

Design of optimal labeling patterns for optical genome mapping via information theory.
Bioinform., October, 2023

Learning Maximum Margin Channel Decoders.
IEEE Trans. Inf. Theory, June, 2023

M-DAB: An Input-Distribution Optimization Algorithm for Composite DNA Storage by the Multinomial Channel.
CoRR, 2023

Quantifying the Loss of Acyclic Join Dependencies.
Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2023

How do Minimum-Norm Shallow Denoisers Look in Function Space?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fundamental Limits of Reference-Based Sequence Reordering.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Maximal-Capacity Discrete Memoryless Channel Identification.
Proceedings of the IEEE International Symposium on Information Theory, 2023

On Mismatched Oblivious Relaying.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Robust Linear Regression for General Feature Distribution.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Error Probability Bounds for Coded-Index DNA Storage Systems.
IEEE Trans. Inf. Theory, 2022

Generalization Bounds and Algorithms for Learning to Communicate Over Additive Noise Channels.
IEEE Trans. Inf. Theory, 2022

The EM Algorithm is Adaptively-Optimal for Unbalanced Symmetric Gaussian Mixtures.
J. Mach. Learn. Res., 2022

Error Probability Bounds for Coded-Index DNA Storage.
CoRR, 2022

The Compound Information Bottleneck Outlook.
CoRR, 2022

Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Information Bottleneck for Gaussian Processes.
Proceedings of the IEEE Information Theory Workshop, 2022

Upper Confidence Interval Strategies for Multi-Armed Bandits with Entropy Rewards.
Proceedings of the IEEE International Symposium on Information Theory, 2022

The DNA Storage Channel: Capacity and Error Probability Bounds.
Proceedings of the IEEE International Symposium on Information Theory, 2022

On Information-Theoretic Determination of Misspecified Rates of Convergence.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Learning Maximum Margin Channel Decoders for Non-linear Gaussian Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2022

The Compound Information Bottleneck Program.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
The DNA Storage Channel: Capacity and Error Probability.
CoRR, 2021

2020
Large Deviations Behavior of the Logarithmic Error Probability of Random Codes.
IEEE Trans. Inf. Theory, 2020

Guessing with a Bit of Help.
Entropy, 2020

Learning Additive Noise Channels: Generalization Bounds and Algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2020

2019
Expurgated Bounds for the Asymmetric Broadcast Channel.
IEEE Trans. Inf. Theory, 2019

Exponent Trade-off for Hypothesis Testing Over Noisy Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2019

k-vectors: An Alternating Minimization Algorithm for Learning Regression Functions.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Self-Predicting Boolean Functions.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Guessing with a Boolean Helper.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

On the Reliability Function of Distributed Hypothesis Testing Under Optimal Detection.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
Channel Detection in Coded Communication.
IEEE Trans. Inf. Theory, 2017

Lower bounds on parameter modulation-estimation under bandwidth constraints.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

On the VC-dimension of binary codes.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
On the optimal boolean function for prediction under quadratic loss.
Proceedings of the IEEE International Symposium on Information Theory, 2016

A large deviations approach to secure lossy compression.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2015
Optimum Tradeoffs Between the Error Exponent and the Excess-Rate Exponent of Variable-Rate Slepian-Wolf Coding.
IEEE Trans. Inf. Theory, 2015

Erasure/list random coding error exponents are not universally achievable.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Simplified erasure/list decoding.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Optimum trade-offs between error exponent and excess-rate exponent of Slepian-Wolf coding.
Proceedings of the IEEE International Symposium on Information Theory, 2015

2014
Codeword or Noise? Exact Random Coding Exponents for Joint Detection and Decoding.
IEEE Trans. Inf. Theory, 2014

Codeword or noise? Exact random coding exponents for slotted asynchronism.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Large deviations analysis of variable-rate Slepian-Wolf coding.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2011
Universal decoding over Gaussian fading channels - metric calculation and performance evaluation.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

2008
Universal decoding for linear Gaussian fading channels in the competitive minimax sense.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008


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