Alon Itai

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All published works

Action	Title	Year	Authors
+	On the Optimization Landscape of Maximum Mean Discrepancy	2021	Alon Itai Amir Globerson Ami Wiesel
+	A Simple Algorithm for Maintaining the Center of a Planar Point-set.	1993	Reuven Bar-Yehuda Alon Efrat Alon Itai
+	A fast and simple randomized parallel algorithm for the maximal independent set problem	1986	Noga Alon László Babai Alon Itai

Common Coauthors

Coauthor	Papers Together
László Babai	1
Reuven Bar-Yehuda	1
Alon Efrat	1
Amir Globerson	1
Noga Alon	1
Ami Wiesel	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Pairwise Independent Random Variables	1980	G. L. O’Brien	1
+ PDF Chat	An overview of computational complexity	1983	Stephen Cook	1
+	An Application of Graph Theory to Additive Number Theory	1985	Noga Alon P. Erdős	1
+	Sidon Sets in Groups and Induced Subgraphs of Cayley Graphs	1985	László Babai Vera T. Sós	1
+ PDF Chat	Settling the Polynomial Learnability of Mixtures of Gaussians	2010	Ankur Moitra Gregory Valiant	1
+ PDF Chat	On a Set of Almost Deterministic $k$-Independent Random Variables	1974	A. Joffe	1
+ PDF Chat	Some remarks on the theory of graphs	1947	P. Erdős	1
+	Intersection theorems with geometric consequences	1981	Péter Frankl R. Wilson	1
+	Theory of probability	1939	Harold Jeffreys R. Bruce Lindsay	1
+	When Are Nonconvex Problems Not Scary?	2015	Ju Sun Qing Qu John Wright	1
+ PDF Chat	Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches	2012	José M. Bioucas‐Dias Antonio Plaza Nicolas Dobigeon M. Parente Qian Du Paul Gader Jocelyn Chanussot	1
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	1
+	Integral Probability Metrics and Their Generating Classes of Functions	1997	Alfred Müller	1
+	Gradient Descent Only Converges to Minimizers	2016	Jason D. Lee Max Simchowitz Michael I. Jordan Benjamin Recht	1
+	Minimax estimation of maximum mean discrepancy with radial kernels	2016	Ilya Tolstikhin Bharath K. Sriperumbudur Bernhard Schölkopf	1
+	Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy	2016	Danica J. Sutherland Hsiao-Yu Fish Tung Heiko Strathmann Soumyajit De Aaditya Ramdas Alex Smola Arthur Gretton	1
+	MMD GAN: Towards Deeper Understanding of Moment Matching Network	2017	Chun‐Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczos	1
+	Understanding GANs: the LQG Setting	2017	Soheil Feizi Changho Suh Fei Xia David Tse	1
+	Demystifying MMD GANs	2018	Mikołaj Bińkowski Danica J. Sutherland Michael Arbel Arthur Gretton	1
+	On the Limitations of First-Order Approximation in GAN Dynamics	2017	Jerry Li Aleksander Mądry John Peebles Ludwig Schmidt	1
+	Training generative neural networks via Maximum Mean Discrepancy optimization	2015	Gintare Karolina Dziugaite Daniel M. Roy Zoubin Ghahramani	1
+	Generative Moment Matching Networks	2015	Yujia Li Kevin Swersky Richard S. Zemel	1
+	Maximum Mean Discrepancy Gradient Flow	2019	Michael Arbel Anna Korba Adil Salim Arthur Gretton	1
+ PDF Chat	The landscape of empirical risk for nonconvex losses	2018	Mei Song Yu Bai Andrea Montanari	1
+	The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization	2018	Constantinos Daskalakis Ioannis Panageas	1
+ PDF Chat	Wasserstein GAN Can Perform PCA	2019	Jaewoong Cho Changho Suh	1
+	SGD Learns One-Layer Networks in WGANs	2019	Qi Lei Jason Lee Alexandros G. Dimakis Constantinos Daskalakis	1
+	GAT–GMM: Generative Adversarial Training for Gaussian Mixture Models	2023	Farzan Farnia W Wang Subhro Das Ali Jadbabaie	1
+	The Bit Extraction Problem of t-Resilient Functions (Preliminary Version)	1985	Benny Chor Oded Goldreich Johan Håstad Joel Friedman Steven Rudich Roman Smolensky	1