Meir Feder

ORCID

Publication Activity (10 Years)

Years Active: 1985-2024
Publications (10 Years): 69

Top Venues

CoRR

ISIT

IEEE Trans. Inf. Theory

OFC

Publications

Shachar Shayovitz, Meir Feder
Active Learning via Predictive Normalized Maximum Likelihood Minimization. IEEE Trans. Inf. Theory 70 (8) (2024)
Yaniv Fogel, Meir Feder
Combining Batch and Online Prediction. ISIT (Workshops) (2024)
Shlomi Vituri, Meir Feder
Universal Batch Learning Under The Misspecification Setting. CoRR (2024)
Shachar Shayovitz, Koby Bibas, Meir Feder
Deep Individual Active Learning: Safeguarding against Out-of-Distribution Challenges in Neural Networks. Entropy 26 (2) (2024)
Adi Hendel, Meir Feder
Error Exponent in Agnostic PAC Learning. CoRR (2024)
Shahar Stein Ioushua, Inbar Hasidim, Ofer Shayevitz, Meir Feder
Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression. CoRR (2023)
Yaniv Fogel, Meir Feder
Permutation Invariant Individual Batch Learning. ITW (2023)
Shachar Shayovitz, Meir Feder
Active Learning for Individual Data via Minimal Stochastic Complexity. Allerton (2022)
Koby Bibas, Meir Feder
Beyond Ridge Regression for Distribution-Free Data. CoRR (2022)
Yaniv Fogel, Meir Feder
Another Look at Universal Individual Learning. ISIT (2022)
Yaniv Fogel, Meir Feder
On Multiple and Hierarchical Universality. ISIT (2022)
Nir Weinberger, Meir Feder
On Information-Theoretic Determination of Misspecified Rates of Convergence. ISIT (2022)
Meir Feder, Tsachy Weissman
Editorial Modern Compression. IEEE J. Sel. Areas Inf. Theory 3 (4) (2022)
Gaston Solodky, Meir Feder
Optimal Sampling of a Bandlimited Noisy Multiple Output Channel. IEEE Trans. Signal Process. 69 (2021)
Koby Bibas, Meir Feder
The Predictive Normalized Maximum Likelihood for Over-parameterized Linear Regression with Norm Constraint: Regret and Double Descent. CoRR (2021)
Shachar Shayovitz, Meir Feder
Universal Active Learning via Conditional Mutual Information Minimization. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Meir Feder, Yury Polyanskiy
Sequential prediction under log-loss and misspecification. CoRR (2021)
Uriya Pesso, Koby Bibas, Meir Feder
Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness. CoRR (2021)
Meir Feder, Yury Polyanskiy
Sequential prediction under log-loss and misspecification. COLT (2021)
Koby Bibas, Meir Feder, Tal Hassner
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection. NeurIPS (2021)
Koby Bibas, Meir Feder, Tal Hassner
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection. CoRR (2021)
Amichai Painsky, Meir Feder
Robust Universal Inference. Entropy 23 (6) (2021)
Assaf Dauber, Meir Feder, Tomer Koren, Roi Livni
Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study. CoRR (2020)
Nir Weinberger, Meir Feder
k-Vectors: An Alternating Minimization Algorithm for Learning Regression Functions. IEEE Trans. Inf. Theory 66 (11) (2020)
Yaniv Fogel, Tal Shapira, Meir Feder
Efficient Data-Dependent Learnability. CoRR (2020)
Assaf Dauber, Meir Feder, Tomer Koren, Roi Livni
Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study. NeurIPS (2020)
Amichai Painsky, Saharon Rosset, Meir Feder
Innovation Representation of Stochastic Processes With Application to Causal Inference. IEEE Trans. Inf. Theory 66 (2) (2020)
Amichai Painsky, Meir Feder, Naftali Tishby
Nonlinear Canonical Correlation Analysis: A Compressed Representation Approach. Entropy 22 (2) (2020)
Nir Elkayam, Meir Feder
One shot approach to lossy source coding under average distortion constraints. CoRR (2020)
Nir Elkayam, Meir Feder
One shot approach to lossy source coding under average distortion constraints. ISIT (2020)
Nir Weinberger, Meir Feder
k-vectors: An Alternating Minimization Algorithm for Learning Regression Functions. Allerton (2019)
Koby Bibas, Yaniv Fogel, Meir Feder
A New Look at an Old Problem: A Universal Learning Approach to Linear Regression. ISIT (2019)
Koby Bibas, Yaniv Fogel, Meir Feder
A New Look at an Old Problem: A Universal Learning Approach to Linear Regression. CoRR (2019)
Koby Bibas, Yaniv Fogel, Meir Feder
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks. CoRR (2019)
Yaniv Fogel, Meir Feder
Universal Learning of Individual Data. ISIT (2019)
Shachar Shayovitz, Meir Feder
Minimax Active Learning Via Minimal Model Capacity. MLSP (2019)
Gaston Solodky, Meir Feder
Sampling a Noisy Multiple Output Channel to Maximize the Capacity. EUSIPCO (2018)
Amichai Painsky, Saharon Rosset, Meir Feder
Innovation Representation of Stochastic Processes with Application to Causal Inference. CoRR (2018)
Yaniv Fogel, Meir Feder
Universal Batch Learning with Log-Loss. ISIT (2018)
Amichai Painsky, Meir Feder, Naftali Tishby
An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis. CoRR (2018)
Amichai Painsky, Saharon Rosset, Meir Feder
Linear Independent Component Analysis Over Finite Fields: Algorithms and Bounds. IEEE Trans. Signal Process. 66 (22) (2018)
Amichai Painsky, Saharon Rosset, Meir Feder
Linear Independent Component Analysis over Finite Fields: Algorithms and Bounds. CoRR (2018)
Yaniv Fogel, Meir Feder
Universal Supervised Learning for Individual Data. CoRR (2018)
Shachar Shayovitz, Meir Feder
Redundancy Capacity Theorem for On-Line Learning Under a Certain Form of Hypotheses Class. ITW (2018)
Nir Elkayam, Meir Feder
On the calculation of the minimax-converse of the channel coding problem. ISIT (2017)
Svetlana Reznikov, Meir Feder
Spatially coupled LDLC: New constructions. ISIT (2017)
Ori Golani, Meir Feder, Mark Shtaif
Kalman-MLSE equalization of nonlinear noise. OFC (2017)
Yaniv Fogel, Meir Feder
On the problem of on-line learning with log-loss. ISIT (2017)
Ori Golani, Meir Feder, Mark Shtaif
Equalization Methods for NLIN Mitigation. CoRR (2017)
Amichai Painsky, Saharon Rosset, Meir Feder
Large Alphabet Source Coding Using Independent Component Analysis. IEEE Trans. Inf. Theory 63 (10) (2017)
Yuval Domb, Meir Feder
Non-Random Coding Error Bounds for Lattices. IEEE Trans. Inf. Theory 62 (1) (2016)
Ori Golani, Meir Feder, Antonio Mecozzi, Mark Shtaif
Correlations and phase noise in NLIN-modelling and system implications. OFC (2016)
Yuval Domb, Ram Zamir, Meir Feder
The Random Coding Bound Is Tight for the Average Linear Code or Lattice. IEEE Trans. Inf. Theory 62 (1) (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
Generalized Independent Component Analysis Over Finite Alphabets. IEEE Trans. Inf. Theory 62 (2) (2016)
Ofer Shayevitz, Meir Feder
A Simple Proof for the Optimality of Randomized Posterior Matching. IEEE Trans. Inf. Theory 62 (6) (2016)
Uri Mendlovic, Meir Feder
Collaboration in Multiple Access Channels Requires Synchronization. IEEE Trans. Inf. Theory 62 (4) (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
Large Alphabet Source Coding using Independent Component Analysis. CoRR (2016)
Ronen Dar, Meir Feder, Antonio Mecozzi, Mark Shtaif, Peter J. Winzer
Inter-channel nonlinear interference noise in fully loaded WDM systems. OFC (2016)
Nir Elkayam, Meir Feder
Variational formulas for the power of the binary hypothesis testing problem with applications. CoRR (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
Binary independent component analysis: Theory, bounds and algorithms. MLSP (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
A Simple and Efficient Approach for Adaptive Entropy Coding over Large Alphabets. DCC (2016)
Mark Shtaif, Ronen Dar, Meir Feder, Antonio Mecozzi
The dynamics of inter-channel nonlinear distortions in fiber-transmission systems. OFC (2015)
Nir Elkayam, Meir Feder
On the calculation of the meta-converse. CoRR (2015)
Amichai Painsky, Saharon Rosset, Meir Feder
Universal Compression of Memoryless Sources over Large Alphabets via Independent Component Analysis. DCC (2015)
Ronen Dar, Meir Feder, Antonio Mecozzi, Mark Shtaif, Peter J. Winzer
Nonlinear phase and polarization rotation noise in fully loaded WDM systems. ECOC (2015)
Amichai Painsky, Saharon Rosset, Meir Feder
Generalized Independent Component Analysis Over Finite Alphabets. CoRR (2015)
Nir Elkayam, Meir Feder
Achievable and converse bounds over a general channel and general decoding metric. ITW (2015)
Ofer Shayevitz, Meir Feder
A Simple Proof for the Optimality of Randomized Posterior Matching. CoRR (2015)
Yair Yona, Meir Feder
On the Diversity-Multiplexing Tradeoff of Unconstrained Multiple-Access Channels. IEEE Trans. Inf. Theory 61 (9) (2015)
Nir Elkayam, Meir Feder
A universal decoder relative to a given family of metrics. ISIT (2014)
Mark Shtaif, Ronen Dar, Antonio Mecozzi, Meir Feder
Nonlinear interference noise in WDM systems and approaches for its cancelation. ECOC (2014)
Ronen Dar, Meir Feder, Antonio Mecozzi, Mark Shtaif
On shaping gain in the nonlinear fiber-optic channel. ISIT (2014)
Ofer Shayevitz, Eado Meron, Meir Feder, Ram Zamir
Delay and Redundancy in Lossless Source Coding. IEEE Trans. Inf. Theory 60 (9) (2014)
Nir Elkayam, Meir Feder
Information spectrum approach to the source channel separation theorem. ISIT (2014)
Yair Yona, Meir Feder
On the diversity-multiplexing tradeoff of unconstrained MIMO fading channels. ITA (2014)
Uri Mendlovic, Meir Feder
Collaboration gain in MAC is limited. ISIT (2014)
Ronen Dar, Meir Feder, Antonio Mecozzi, Mark Shtaif
Time varying ISI model for nonlinear interference noise. OFC (2014)
Mark Shtaif, Ronen Dar, Meir Feder, Antonio Mecozzi
Nonlinear interference noise in fibre-optic communications. ICTON (2014)
Yuval Lomnitz, Meir Feder
Universal Communication - Part II: Channels With Memory. IEEE Trans. Inf. Theory 60 (7) (2014)
Nir Elkayam, Meir Feder
A Universal Decoder relative to a given Family of Metrics. CoRR (2014)
Amichai Painsky, Saharon Rosset, Meir Feder
Generalized binary independent component analysis. ISIT (2014)
Nir Elkayam, Meir Feder
Achievable and Converse bounds over a general channel and general decoding metric. CoRR (2014)
Yair Yona, Meir Feder
Fundamental Limits of Infinite Constellations in MIMO Fading Channels. IEEE Trans. Inf. Theory 60 (2) (2014)
Ronen Dar, Omri Geller, Meir Feder, Antonio Mecozzi, Mark Shtaif
Mitigation of inter-channel nonlinear interference in WDM systems. ECOC (2014)
Ronen Dar, Meir Feder
Finite-Memory Prediction as Well as the Empirical Mean. IEEE Trans. Inf. Theory 60 (8) (2014)
Uri Mendlovic, Meir Feder
Source broadcasting to the masses: Separation has a bounded loss. ISIT (2014)
Nir Elkayam, Meir Feder
Information Spectrum Approach to the Source Channel Separation Theorem. CoRR (2013)
Ronen Dar, Mark Shtaif, Meir Feder
Information rates in the optical nonlinear phase noise channel. Allerton (2013)
Amichai Painsky, Saharon Rosset, Meir Feder
Memoryless representation of Markov processes. ISIT (2013)
Yair Yona, Meir Feder
Complex low density lattice codes for the 2×2 MIMO fading channel. Allerton (2013)
Yuval Lomnitz, Meir Feder
A Universal Probability Assignment for Prediction of Individual Sequences CoRR (2013)
Yuval Domb, Ram Zamir, Meir Feder
The Random Coding Bound Is Tight for the Average Linear Code or Lattice. CoRR (2013)
Yuval Lomnitz, Meir Feder
Universal Communication - Part I: Modulo Additive Channels. IEEE Trans. Inf. Theory 59 (9) (2013)
Ronen Dar, Meir Feder, Antonio Mecozzi, Mark Shtaif
Time varying ISI model for nonlinear interference noise. CoRR (2013)
Ronen Dar, Mark Shtaif, Meir Feder
New Bounds on the Capacity of Fiber-Optics Communications CoRR (2013)
Yuval Lomnitz, Meir Feder
A universal probability assignment for prediction of individual sequences. ISIT (2013)
Amir Ingber, Ram Zamir, Meir Feder
Finite-Dimensional Infinite Constellations. IEEE Trans. Inf. Theory 59 (3) (2013)
Ronen Dar, Meir Feder, Antonio Mecozzi, Mark Shtaif
Properties of nonlinear noise in long, dispersion-uncompensated fiber links. CoRR (2013)
Uri Mendlovic, Meir Feder
Source Broadcasting to the Masses: Separation has a Bounded Loss. CoRR (2013)
Yuval Lomnitz, Meir Feder
Universal Communication Over Arbitrarily Varying Channels. IEEE Trans. Inf. Theory 59 (6) (2013)

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Publication Activity (10 Years)

Top Topics

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Meir Feder