Hassan Hafez-Kolahi

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All published works

Action	Title	Year	Authors
+ PDF Chat	Information-Theoretic Analysis of Minimax Excess Risk	2023	Hassan Hafez-Kolahi Behrad Moniri Shohreh Kasaei
+	Information-Theoretic Analysis of Minimax Excess Risk	2022	Hassan Hafez-Kolahi Behrad Moniri Shohreh Kasaei
+	Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning	2021	Hassan Hafez-Kolahi Behrad Moniri Shohreh Kasaei Mahdieh Soleymani Baghshah
+	Information Bottleneck and its Applications in Deep Learning	2019	Hassan Hafez-Kolahi Shohreh Kasaei
+	Do Compressed Representations Generalize Better?	2019	Hassan Hafez-Kolahi Shohreh Kasaei Mahdiyeh Soleymani-Baghshah
+	Information Bottleneck and its Applications in Deep Learning	2019	Hassan Hafez-Kolahi Shohreh Kasaei

Common Coauthors

Coauthor	Papers Together
Shohreh Kasaei	6
Behrad Moniri	2
Mahdiyeh Soleymani-Baghshah	1
Behrad Moniri	1
Mahdieh Soleymani Baghshah	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	How much does your data exploration overfit? Controlling bias via information usage	2015	Daniel Russo James Zou	3
+	Deep Variational Information Bottleneck	2016	Alexander A. Alemi Ian Fischer Joshua V. Dillon Kevin Murphy	2
+ PDF Chat	Information Dropout: Learning Optimal Representations Through Noisy Computation	2018	Alessandro Achille Stefano Soatto	2
+	Flow of Information in Feed-Forward Deep Neural Networks.	2016	Pejman Khadivi Ravi Tandon Naren Ramakrishnan	2
+ PDF Chat	Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle	2019	Rana Ali Amjad Bernhard C. Geiger	2
+	Information-theoretic asymptotics of Bayes methods	1990	Bertrand Clarke Andrew R. Barron	2
+	Deep Learning and the Information Bottleneck Principle	2015	Naftali Tishby Noga Zaslavsky	2
+	On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities	2015	Vladimir Vapnik Alexey Chervonenkis	2
+	How (Not) To Train Your Neural Network Using the Information Bottleneck Principle.	2018	Rana Ali Amjad Bernhard C. Geiger	2
+	Opening the Black Box of Deep Neural Networks via Information	2017	Ravid Shwartz-Ziv Naftali Tishby	2
+	Nonlinear Information Bottleneck.	2017	Artemy Kolchinsky Brendan Tracey David H. Wolpert	2
+ PDF Chat	Minimum Excess Risk in Bayesian Learning	2022	Aolin Xu Maxim Raginsky	2
+	Understanding deep learning requires rethinking generalization	2016	Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals	2
+	Chaining Mutual Information and Tightening Generalization Bounds	2018	Amir R. Asadi Emmanuel Abbé Sergio Verdú	2
+	Jeffreys' prior is asymptotically least favorable under entropy risk	1994	Bertrand Clarke Andrew R. Barron	2
+	Controlling Bias in Adaptive Data Analysis Using Information Theory	2016	Daniel Russo James Zou	2
+ PDF Chat	The Shannon Lower Bound Is Asymptotically Tight	2016	Tobias Koch	1
+ PDF Chat	Probability Measures on Metric Spaces	2004		1
+	On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima	2016	Nitish Shirish Keskar Dheevatsa Mudigere Jorge Nocedal Mikhail Smelyanskiy Ping Tang	1
+	Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality	2016	Tomaso Poggio H. N. Mhaskar Lorenzo Rosasco Brando Miranda Qianli Liao	1
+	On the Emergence of Invariance and Disentangling in Deep Representations.	2017	Alessandro Achille Stefano Soatto	1
+	InfoVAE: Information Maximizing Variational Autoencoders	2017	Shengjia Zhao Jiaming Song Stefano Ermon	1
+	Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks	2017	Pratik Chaudhari Stefano Soatto	1
+ PDF Chat	Layer-wise Learning of Stochastic Neural Networks with Information Bottleneck	2017	Thành Tâm Nguyên Jaesik Choi	1
+	Mathematics of Deep Learning	2017	René Vidal Joan Bruna Raja Giryes Stefano Soatto	1
+	The Role of Information Complexity and Randomization in Representation Learning	2018	Matías Vera Pablo Piantanida Leonardo Rey Vega	1
+	Degeneration in VAE: in the Light of Fisher Information Loss	2018	Huangjie Zheng Jiangchao Yao Ya Zhang Ivor W. Tsang	1
+	Fixing a Broken ELBO	2017	Alexander A. Alemi Ben Poole Ian Fischer Joshua V. Dillon Rif A. Saurous Kevin Murphy	1
+	A Direct Sum Result for the Information Complexity of Learning	2018	Ido Nachum Jonathan Shafer Amir Yehudayoff	1
+ PDF Chat	The Deterministic Information Bottleneck	2017	DJ Strouse David J. Schwab	1
+	Understanding Convolutional Neural Network Training with Information Theory.	2018	Shujian Yu Robert Jenssen José C. Prı́ncipe	1
+	Neural Tangent Kernel: Convergence and Generalization in Neural Networks	2018	Arthur Paul Jacot Franck Gabriel Clément Hongler	1
+	Emergence of Invariance and Disentanglement in Deep Representations	2017	Alessandro Achille Stefano Soatto	1
+	Information Bottleneck Methods for Distributed Learning	2018	Parinaz Farajiparvar Ahmad Beirami Matthew Nokleby	1
+	Sharp Minima Can Generalize For Deep Nets	2017	Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio	1
+	Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review	2016	Tomaso Poggio H. N. Mhaskar Lorenzo Rosasco Brando Miranda Qianli Liao	1
+	Variational Lossy Autoencoder	2016	Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel	1
+ PDF Chat	On maximal tail probability of sums of nonnegative, independent and identically distributed random variables	2017	Tomasz Łuczak Katarzyna Mieczkowska Matas Šileikis	1
+ PDF Chat	Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences	2019	Sandesh Ghimire Prashnna Kumar Gyawali Jwala Dhamala John L. Sapp B. Milan Horáček Linwei Wang	1
+ PDF Chat	The Information Bottleneck and Geometric Clustering	2018	DJ Strouse David J. Schwab	1
+	Information-theoretic analysis of generalization capability of learning algorithms	2017	Aolin Xu Maxim Raginsky	1
+	InfoBot: Transfer and Exploration via the Information Bottleneck	2019	Anirudh Goyal Riashat Islam Daniel Strouse Zafarali Ahmed Hugo Larochelle Matthew Botvinick Yoshua Bengio Sergey Levine	1
+ PDF Chat	Tightening Mutual Information Based Bounds on Generalization Error	2019	Yuheng Bu Shaofeng Zou Venugopal V. Veeravalli	1
+	How Much Does Your Data Exploration Overfit? Controlling Bias via Information Usage	2019	Daniel Russo James Zou	1
+	The information bottleneck method	2000	Naftali Tishby Fernando C. N. Pereira William Bialek	1
+	Reasoning About Generalization via Conditional Mutual Information	2020	Thomas Steinke Lydia Zakynthinou	1
+ PDF Chat	Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration	2020	Shujian Yu Kristoffer Wickstrøm Robert Jenssen José C. Prı́ncipe	1
+	Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms	2020	Mahdi Haghifam Jeffrey Negrea Ashish Khisti Daniel M. Roy Gintare Karolina Dziugaite	1
+	On the Information Complexity of Proper Learners for VC Classes in the Realizable Case	2020	Mahdi Haghifam Gintare Karolina Dziugaite Shay Moran Daniel M. Roy	1
+ PDF Chat	Learnability for the Information Bottleneck	2019	Tailin Wu Ian Fischer Isaac L. Chuang Max Tegmark	1