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Gil I. Shamir
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2020 – today
- 2024
- [c34]Gil I. Shamir, Wojciech Szpankowski:
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning. ISIT 2024: 975-980 - 2023
- [i16]Le Yan, Zhen Qin, Gil I. Shamir, Dong Lin, Xuanhui Wang, Mike Bendersky:
Learning to Rank when Grades Matter. CoRR abs/2306.08650 (2023) - 2022
- [j13]Michael Drmota, Gil I. Shamir, Wojciech Szpankowski:
Sequential universal modeling for non-binary sequences with constrained distributions. Commun. Inf. Syst. 22(1): 1-38 (2022) - [j12]Mohsen Heidari, Jithin K. Sreedharan, Gil I. Shamir, Wojciech Szpankowski:
Sufficiently Informative and Relevant Features: An Information-Theoretic and Fourier-Based Characterization. IEEE Trans. Inf. Theory 68(9): 6063-6077 (2022) - [c33]Philippe Jacquet, Gil I. Shamir, Wojciech Szpankowski:
Precise Minimax Regret for Logistic Regression. ISIT 2022: 444-449 - [c32]Kwangjun Ahn, Prateek Jain, Ziwei Ji, Satyen Kale, Praneeth Netrapalli, Gil I. Shamir:
Reproducibility in Optimization: Theoretical Framework and Limits. NeurIPS 2022 - [c31]Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan:
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. ORSUM@RecSys 2022 - [i15]Kwangjun Ahn, Prateek Jain, Ziwei Ji, Satyen Kale, Praneeth Netrapalli, Gil I. Shamir:
Reproducibility in Optimization: Theoretical Framework and Limits. CoRR abs/2202.04598 (2022) - [i14]Gil I. Shamir, Dong Lin:
Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations. CoRR abs/2202.06499 (2022) - [i13]Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan:
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. CoRR abs/2209.05310 (2022) - 2021
- [c30]Philippe Jacquet, Gil I. Shamir, Wojciech Szpankowski:
Precise Minimax Regret for Logistic Regression with Categorical Feature Values. ALT 2021: 755-771 - [c29]Mohsen Heidari, Jithin K. Sreedharan, Gil I. Shamir, Wojciech Szpankowski:
Finding Relevant Information via a Discrete Fourier Expansion. ICML 2021: 4181-4191 - [c28]Gil I. Shamir, Wojciech Szpankowski:
A Lower Bound for Regret in Logistic Regression. ISIT 2021: 2507-2512 - [c27]Mohsen Heidari, Jithin K. Sreedharan, Gil I. Shamir, Wojciech Szpankowski:
Information Sufficiency via Fourier Expansion. ISIT 2021: 2774-2779 - [i12]Gil I. Shamir, Wojciech Szpankowski:
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning. CoRR abs/2101.12113 (2021) - [i11]Robert R. Snapp, Gil I. Shamir:
Synthesizing Irreproducibility in Deep Networks. CoRR abs/2102.10696 (2021) - [i10]Haichao Yu, Zhe Chen, Dong Lin, Gil I. Shamir, Jie Han:
Dropout Prediction Variation Estimation Using Neuron Activation Strength. CoRR abs/2110.06435 (2021) - 2020
- [c26]Gil I. Shamir:
Logistic Regression Regret: What's the Catch? COLT 2020: 3296-3319 - [i9]Gil I. Shamir:
Logistic Regression Regret: What's the Catch? CoRR abs/2002.02950 (2020) - [i8]Michael Drmota, Gil I. Shamir, Wojciech Szpankowski:
Sequential Universal Modeling for Non-Binary Sequences with Constrained Distributions. CoRR abs/2005.10320 (2020) - [i7]Gil I. Shamir, Lorenzo Coviello:
Anti-Distillation: Improving reproducibility of deep networks. CoRR abs/2010.09923 (2020) - [i6]Gil I. Shamir, Dong Lin, Lorenzo Coviello:
Smooth activations and reproducibility in deep networks. CoRR abs/2010.09931 (2020)
2010 – 2019
- 2018
- [c25]Joseph J. Boutros, Uri Erez, Johannes Van Wonterghem, Gil I. Shamir, Gilles Zémor:
Geometric shaping: low-density coding of Gaussian-like constellations. ITW 2018: 1-5 - 2015
- [c24]Gil I. Shamir:
Minimum description length (MDL) regularization for online learning. FE@NIPS 2015: 260-276 - 2013
- [j11]Gil I. Shamir:
Universal Source Coding for Monotonic and Fast Decaying Monotonic Distributions. IEEE Trans. Inf. Theory 59(11): 7194-7211 (2013)
2000 – 2009
- 2009
- [j10]Gil I. Shamir, Kai Xie:
Universal source controlled channel decoding with nonsystematic quick-look-in turbo codes. IEEE Trans. Commun. 57(4): 960-971 (2009) - 2008
- [j9]Gil I. Shamir:
Entropy of Patterns of i.i.d. Sequences - Part I: General Bounds. IEEE Trans. Inf. Theory 54(5): 2263-2277 (2008) - [c23]Gil I. Shamir, Tjalling J. Tjalkens, Frans M. J. Willems:
Low-complexity sequential probability estimation and universal compression for binary sequences with constrained distributions. ISIT 2008: 995-999 - [c22]Bertrand Ndzana Ndzana, Andrew W. Eckford, Amin Shokrollahi, Gil I. Shamir:
Fountain codes for piecewise stationary channels. ISIT 2008: 2242-2246 - 2007
- [j8]Li Wang, Gil I. Shamir:
Universal Context Based Decoding with Low-Density Parity-Check Codes. IEEE Commun. Lett. 11(9): 741-743 (2007) - [c21]Li Wang, Gil I. Shamir, Joseph Boutros:
Universal Context Based Decoding with Non-systematic Low-Density Parity-Check Codes. CISS 2007: 469-473 - [c20]Gilberto Titericz Jr., Richard Demo Souza, Javier Garcia-Frías, Gil I. Shamir:
Comparing Different Transmission Strategies Using Turbo Codes for Nonuniform Memoryless Sources. ICC 2007: 2722-2727 - [c19]Gil I. Shamir:
Universal Source Coding for Monotonic and Fast Decaying Monotonic Distributions. ISIT 2007: 1956-1960 - [i5]Gil I. Shamir:
Universal Source Coding for Monotonic and Fast Decaying Monotonic Distributions. CoRR abs/0704.0838 (2007) - [i4]Gil I. Shamir:
Patterns of i.i.d. Sequences and Their Entropy - Part II: Bounds for Some Distributions. CoRR abs/0711.2102 (2007) - 2006
- [j7]Gil I. Shamir:
On the MDL principle for i.i.d. sources with large alphabets. IEEE Trans. Inf. Theory 52(5): 1939-1955 (2006) - [j6]Gil I. Shamir:
Universal Lossless Compression With Unknown Alphabets - The Average Case. IEEE Trans. Inf. Theory 52(11): 4915-4944 (2006) - [c18]Gil I. Shamir, Li Wang, Joseph Boutros:
Context Based Decoding of Split-LDPC Codes. GLOBECOM 2006 - [c17]Kai Xie, Li Wang, Gil I. Shamir, Joseph J. Boutros:
EXIT Chart Analysis for Split-LDPC Codes. ISIT 2006: 567-571 - [c16]Wufei Zhang, Daniel J. Costello Jr., Thomas E. Fuja, Gil I. Shamir, Andrew W. Eckford:
Iterative Estimation and Decoding for Gaussian Channels with Abruptly Changing Statistics. ISIT 2006: 2466-2470 - [c15]Gil I. Shamir:
On Some Distributions and Their Pattern Entropies. ISIT 2006: 2541-2545 - [i3]Gil I. Shamir:
Universal Lossless Compression with Unknown Alphabets - The Average Case. CoRR abs/cs/0603068 (2006) - [i2]Gil I. Shamir:
Patterns of i.i.d. Sequences and Their Entropy - Part I: General Bounds. CoRR abs/cs/0605046 (2006) - 2005
- [j5]Gil I. Shamir, Kai Xie:
Universal lossless source controlled channel decoding for i.i.d. sequences. IEEE Commun. Lett. 9(5): 450-452 (2005) - [c14]Li Wang, Gil I. Shamir:
BWT Based Universal Lossless Source Controlled Channel Decoding with Low Density Parity Check Codes. DCC 2005: 487 - [c13]Kai Xie, Gil I. Shamir:
Decoding of Non-Systematic Turbo Codes for Stationary Memoryless and Piecewise Stationary Memoryless Sequences. DCC 2005: 490 - [c12]En-Hui Yang, Lihua Song, Gil I. Shamir, John C. Kieffer:
On the pointwise redundancy of the LZ78 algorithm. ISIT 2005: 495-499 - [c11]Kai Xie, Gil I. Shamir:
Context and denoising based decoding of non-systematic turbo codes for redundant data. ISIT 2005: 1280-1284 - [c10]Richard Demo Souza, Gil I. Shamir, Javier Garcia-Frías, Kai Xie:
Non-systematic turbo coding with unequal energy allocation for nonuniform memoryless sources. ISIT 2005: 1893-1897 - [c9]Gil I. Shamir, Joseph J. Boutros:
Non-systematic low-density parity-check codes for nonuniform sources. ISIT 2005: 1898-1902 - [c8]Gil I. Shamir, Kai Xie:
Design of non-systematic turbo codes for universal source controlled channel decoding. ITW 2005: 197-201 - [c7]Gil I. Shamir:
Bounds on the entropy of patterns of I.I.D. sequences. ITW 2005: 202-206 - [c6]Wufei Zhang, Christian Koller, Andrew W. Eckford, Daniel J. Costello Jr., Thomas E. Fuja, Gil I. Shamir:
Estimation and decoding strategies for channels with abruptly changing statistics. ITW 2005: 277- - [i1]Gil I. Shamir:
Bounds on the Entropy of Patterns of I.I.D. Sequences. CoRR abs/cs/0504049 (2005) - 2004
- [j4]Gil I. Shamir, Daniel J. Costello Jr.:
Universal Lossless Coding for Sources With Repeating Statistics. IEEE Trans. Inf. Theory 50(8): 1620-1635 (2004) - [c5]Gil I. Shamir:
Sequential Universal Lossless Techniques for Compression of Patterns and Their Description Length. Data Compression Conference 2004: 419-428 - [c4]Gil I. Shamir:
Average case universal lossless compression with unknown alphabets. ISIT 2004: 27 - [c3]Kai Xie, Gil I. Shamir:
Universal lossless source controlled channel decoding. ISIT 2004: 163 - 2003
- [c2]Gil I. Shamir:
On strongly sequential compression of sources with abrupt changes in statistics. ICC 2003: 2924-2927 - 2001
- [j3]Gil I. Shamir, Daniel J. Costello Jr.:
On the redundancy of universal lossless coding for general piecewise stationary sources. Commun. Inf. Syst. 1(3): 305-332 (2001) - [c1]Gil I. Shamir, Daniel J. Costello Jr.:
Universal Lossless Compression of Piecewise Stationary Slowly Varying Sources. Data Compression Conference 2001: 371-380 - 2000
- [j2]Gil I. Shamir, Daniel J. Costello Jr.:
Asymptotically optimal low-complexity sequential lossless coding for piecewise-stationary memoryless sources - Part 1: The regular case. IEEE Trans. Inf. Theory 46(7): 2444-2467 (2000)
1990 – 1999
- 1999
- [j1]Gil I. Shamir, Neri Merhav:
Low-complexity sequential lossless coding for piecewise-stationary memoryless sources. IEEE Trans. Inf. Theory 45(5): 1498-1519 (1999)
Coauthor Index
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