Michael Gastpar

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 124

Top Venues

CoRR

ISIT

IEEE Trans. Inf. Theory

ITW

Publications

Theresa Stadler, Bogdan Kulynych, Nicolas Papernot, Michael Gastpar, Carmela Troncoso
The Fundamental Limits of Least-Privilege Learning. CoRR (2024)
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
Sibson's α-Mutual Information and its Variational Representations. CoRR (2024)
Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Martin Jaggi, Hyeji Kim, Michael Gastpar
Attention with Markov: A Framework for Principled Analysis of Transformers via Markov Chains. CoRR (2024)
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
Characterising Directed and Undirected Metrics of High-Order Interdependence. ISIT (Workshops) (2024)
Lifu Jin, Amedeo Roberto Esposito, Michael Gastpar
Properties of the Strong Data Processing Constant for Rényi Divergence. CoRR (2024)
Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
Fantastic Generalization Measures are Nowhere to be Found. ICLR (2024)
Nived Rajaraman, Marco Bondaschi, Kannan Ramchandran, Michael Gastpar, Ashok Vardhan Makkuva
Transformers on Markov Data: Constant Depth Suffices. CoRR (2024)
Adway Girish, Alliot Nagle, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models. CoRR (2024)
Marco Bondaschi, Michael Gastpar
Batch Universal Prediction. CoRR (2024)
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
Characterising directed and undirected metrics of high-order interdependence. CoRR (2024)
Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar
Local to Global: Learning Dynamics and Effect of Initialization for Transformers. CoRR (2024)
Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar
A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs. IEEE Trans. Inf. Theory 69 (1) (2023)
Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms. COLT (2023)
Aditya Pradeep, Michael Gastpar
Personalized Privacy-Preserving Distributed Learning on Heterogeneous Data. ISIT (2023)
Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms. CoRR (2023)
Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar
Distributed Lossy Computation with Structured Codes: From Discrete to Continuous Sources. ISIT (2023)
Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
Fantastic Generalization Measures are Nowhere to be Found. CoRR (2023)
Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
Lower Bounds on the Bayesian Risk via Information Measures. CoRR (2023)
Amedeo Roberto Esposito, Michael Gastpar
From Generalisation Error to Transportation-cost Inequalities and Back. ISIT (2022)
Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar
Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences. ISIT (2022)
Erixhen Sula, Michael Gastpar
Shannon Bounds on Lossy Gray-Wyner Networks. CoRR (2022)
Arda Atalik, Alper Köse, Michael Gastpar
The Price of Distributed: Rate Loss in the CEO Problem. CISS (2022)
Arda Atalik, Alper Köse, Michael Gastpar
The Price of Distributed: Rate Loss in the CEO Problem. CoRR (2022)
Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian
Privacy in Retrieval, Computing, and Learning. IEEE J. Sel. Areas Commun. 40 (3) (2022)
Aditya Pradeep, Ido Nachum, Michael Gastpar
Finite Littlestone Dimension Implies Finite Information Complexity. CoRR (2022)
Amedeo Roberto Esposito, Michael Gastpar
From Generalisation Error to Transportation-cost Inequalities and Back. CoRR (2022)
Arda Atalik, Alper Köse, Michael Gastpar
Differential Entropy of the Conditional Expectation Under Additive Gaussian Noise. IEEE Trans. Signal Process. 70 (2022)
Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian
Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges. IEEE J. Sel. Areas Commun. 40 (3) (2022)
Erixhen Sula, Michael Gastpar
The Gray-Wyner Network and Wyner's Common Information for Gaussian Sources. IEEE Trans. Inf. Theory 68 (2) (2022)
Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs. ICLR (2022)
Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
On Sibson's α-Mutual Information. CoRR (2022)
Erixhen Sula, Michael Gastpar
Shannon Bounds on Lossy Gray-Wyner Networks. ISIT (2022)
Adrien Vandenbroucque, Amedeo Roberto Esposito, Michael Gastpar
Lower-bounds on the Bayesian Risk in Estimation Procedures via f-Divergences. CoRR (2022)
Amedeo Roberto Esposito, Adrien Vandenbroucque, Michael Gastpar
On Sibson's α-Mutual Information. ISIT (2022)
Marco Bondaschi, Michael Gastpar
Alpha-NML Universal Predictors. CoRR (2022)
Marco Bondaschi, Michael Gastpar
Alpha-NML Universal Predictors. ISIT (2022)
Aditya Pradeep, Ido Nachum, Michael Gastpar
Finite Littlestone Dimension Implies Finite Information Complexity. ISIT (2022)
M. Bora Dogan, Michael Gastpar
Lower Bounds on the Expected Excess Risk Using Mutual Information. ITW (2021)
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage. IEEE Trans. Inf. Theory 67 (8) (2021)
Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar
A Unified Discretization Approach to Compute-Forward: From Discrete to Continuous Inputs. CoRR (2021)
Amedeo Roberto Esposito, Michael Gastpar
Lower-bounds on the Bayesian Risk in estimation procedures via Sibson's $\alpha$-Mutual Information. ISIT (2021)
Arda Atalik, Alper Köse, Michael Gastpar
Differential Entropy of the Conditional Expectation under Gaussian Noise. ITW (2021)
Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges. CoRR (2021)
Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs. CoRR (2021)
Erixhen Sula, Michael Gastpar
Lower bound on relaxed Wyner's Common Information. ISIT (2021)
Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar
On conditional Sibson's $\alpha$ -Mutual Information. ISIT (2021)
Adriano Pastore, Michael Gastpar
Locally Differentially-Private Randomized Response for Discrete Distribution Learning. J. Mach. Learn. Res. 22 (2021)
Erixhen Sula, Michael Gastpar
Lower bound on Wyner's Common Information. CoRR (2021)
Adriano Pastore, Sung Hoon Lim, Chen Feng, Bobak Nazer, Michael Gastpar
A Discretization Approach to Compute-Forward. ISIT (2021)
Su Li, Michael Gastpar
On Calculating the Minimum Rate for the Cooperative Data Exchange Problem Over Fully Connected Networks. IEEE Trans. Commun. 69 (9) (2021)
Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar
On conditional Sibson's α-Mutual Information. CoRR (2021)
Arda Atalik, Alper Köse, Michael Gastpar
Entropy of the Conditional Expectation under Gaussian Noise. CoRR (2021)
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
Learning, compression, and leakage: Minimizing classification error via meta-universal compression principles. CoRR (2020)
Giel J. Op 't Veld, Michael Gastpar
Caching (Bivariate) Gaussians. IEEE Trans. Inf. Theory 66 (10) (2020)
Michael Gastpar, Erixhen Sula
Common Information Components Analysis. ITA (2020)
Michael Gastpar, Erixhen Sula
Common Information Components Analysis. CoRR (2020)
Fernando E. Rosas, Pedro A. M. Mediano, Michael Gastpar
Learning, compression, and leakage: Minimising classification error via meta-universal compression principles. ITW (2020)
Erixhen Sula, Michael Gastpar
The Gaussian lossy Gray-Wyner network. CISS (2020)
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
Robust Generalization via f-Mutual Information. ISIT (2020)
Su Li, Michael Gastpar
Converse for Multi-Server Single-Message PIR with Side Information. CISS (2020)
Erixhen Sula, Michael Gastpar, Gerhard Kramer
Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels With Feedback. IEEE Trans. Inf. Theory 66 (5) (2020)
Pinar Sen, Michael Gastpar, Young-Han Kim
Successive Refinement to Caching for Dynamic Requests. ISIT (2020)
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
Robust Generalization via $α$-Mutual Information. CoRR (2020)
Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar
Compute-Forward for DMCs: Simultaneous Decoding of Multiple Combinations. IEEE Trans. Inf. Theory 66 (10) (2020)
Erixhen Sula, Michael Gastpar
The Gaussian lossy Gray-Wyner network. CoRR (2020)
Erixhen Sula, Michael Gastpar
Relaxed Wyner's Common Information. CoRR (2019)
Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
Strengthened Information-theoretic Bounds on the Generalization Error. CoRR (2019)
Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar
Strengthened Information-theoretic Bounds on the Generalization Error. ISIT (2019)
Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar
Towards an Algebraic Network Information Theory: Distributed Lossy Computation of Linear Functions. ISIT (2019)
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
Learning and Adaptive Data Analysis via Maximal Leakage. ITW (2019)
Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar
Compute-Forward Multiple Access (CFMA): Practical Implementations. IEEE Trans. Commun. 67 (2) (2019)
Fernando Rosas, Pedro A. M. Mediano, Michael Gastpar, Henrik J. Jensen
Quantifying High-order Interdependencies via Multivariate Extensions of the Mutual Information. CoRR (2019)
Pinar Sen, Michael Gastpar
Successive Refinement to Caching for Dynamic Content. ISIT (2019)
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage. CoRR (2019)
Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage. CoRR (2019)
Saeid Sahraei, Pierre Quinton, Michael Gastpar
The Optimal Memory-Rate Trade-Off for the Non-Uniform Centralized Caching Problem With Two Files Under Uncoded Placement. IEEE Trans. Inf. Theory 65 (12) (2019)
Krishnan Eswaran, Michael Gastpar
Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy Power. IEEE Trans. Inf. Theory 65 (7) (2019)
Michael Gastpar, Erixhen Sula
Relaxed Wyner's Common Information. ITW (2019)
Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar
Towards an Algebraic Network Information Theory: Simultaneous Joint Typicality Decoding. CoRR (2019)
Jingge Zhu, Sung Hoon Lim, Michael Gastpar
Communication Versus Computation: Duality for Multiple-Access Channels and Source Coding. IEEE Trans. Inf. Theory 65 (1) (2019)
Krishnan Eswaran, Michael Gastpar
Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy-Power. ITA (2018)
Ibrahim Issa, Michael Gastpar
Computable Bounds on the Exploration Bias. ISIT (2018)
Su Li, Michael Gastpar
Single-server Multi-message Private Information Retrieval with Side Information. Allerton (2018)
Saeid Sahraei, Michael Gastpar
Increasing Availability in Distributed Storage Systems via Clustering. ISIT (2018)
Erixhen Sula, Michael Gastpar, Gerhard Kramer
Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels with Feedback. ISIT (2018)
Adriano Pastore, Michael Gastpar
Locally Differentially-Private Randomized Response for Discrete Distribution Learning. CoRR (2018)
Su Li, Michael Gastpar
Converse for Multi-Server Single-Message PIR with Side Information. CoRR (2018)
Su Li, Michael Gastpar
Single-Server Multi-Message Private Information Retrieval with Side Information. CoRR (2018)
Erixhen Sula, Michael Gastpar, Gerhard Kramer
Sum-Rate Capacity for Symmetric Gaussian Multiple Access Channels with Feedback. CoRR (2018)
Pierre Quinton, Saeid Sahraei, Michael Gastpar
A Novel Centralized Strategy for Coded Caching with Non-uniform Demands. CoRR (2018)
Saeid Sahraei, Pierre Quinton, Michael Gastpar
The Optimal Memory-Rate Trade-off for the Non-uniform Centralized Caching Problem with Two Files under Uncoded Placement. CoRR (2018)
Krishnan Eswaran, Michael Gastpar
Remote Source Coding under Gaussian Noise : Dueling Roles of Power and Entropy Power. CoRR (2018)
Su Li, Michael Gastpar
Single-server Multi-user Private Information Retrieval with Side Information. ISIT (2018)
Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar
A Joint Typicality Approach to Compute-Forward. IEEE Trans. Inf. Theory 64 (12) (2018)
Saeid Sahraei, Michael Gastpar
Polynomially Solvable Instances of the Shortest and Closest Vector Problems With Applications to Compute-and-Forward. IEEE Trans. Inf. Theory 63 (12) (2017)
Saeid Sahraei, Michael Gastpar
Increasing Availability in Distributed Storage Systems via Clustering. CoRR (2017)
Sung Hoon Lim, Chen Feng, Adriano Pastore, Bobak Nazer, Michael Gastpar
Towards an algebraic network information theory: Simultaneous joint typicality decoding. ISIT (2017)
Jingge Zhu, Michael Gastpar
Gaussian Multiple Access via Compute-and-Forward. IEEE Trans. Inf. Theory 63 (5) (2017)
Su Li, Abhin Shah, Michael Gastpar
Cooperative data exchange with weighted cost based on d-basis construction. Allerton (2017)
Su Li, Michael Gastpar
Cooperative Data Exchange based on MDS Codes. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Gastpar