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Learning Multiple Embeddings
Alessandro Epasto

Sun Dec 06 12:50 PM -- 01:00 PM (PST) @

Author Information

Alessandro Epasto (Google)

I am a senior research scientist at Google, New York working in the Google Research Algorithms and Optimization team lead by Vahab Mirrokni. I received a Ph.D in computer science from Sapienza University of Rome, where I was advised by Professor Alessandro Panconesi and supported by the Google Europe Ph.D. Fellowship in Algorithms, 2011. I was also a post-doc at the department of computer science of Brown University in Providence (RI), USA where I was advised by Professor Eli Upfal. My research interests include algorithmic problems in machine learning and data mining, in particular in the areas of clustering, and large scale graphs analysis.

More from the Same Authors

  • 2020 Poster: Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions »
    Alessandro Epasto · Mohammad Mahdian · Vahab Mirrokni · Emmanouil Zampetakis
  • 2020 Spotlight: Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions »
    Alessandro Epasto · Mohammad Mahdian · Vahab Mirrokni · Emmanouil Zampetakis
  • 2020 Poster: Sliding Window Algorithms for k-Clustering Problems »
    Michele Borassi · Alessandro Epasto · Silvio Lattanzi · Sergei Vassilvitskii · Morteza Zadimoghaddam
  • 2020 Poster: Fair Hierarchical Clustering »
    Sara Ahmadian · Alessandro Epasto · Marina Knittel · Ravi Kumar · Mohammad Mahdian · Benjamin Moseley · Philip Pham · Sergei Vassilvitskii · Yuyan Wang
  • 2020 Poster: Smoothly Bounding User Contributions in Differential Privacy »
    Alessandro Epasto · Mohammad Mahdian · Jieming Mao · Vahab Mirrokni · Lijie Ren
  • 2020 : Similarity Ranking »
    Alessandro Epasto
  • 2020 : Application Story: Privacy »
    Alessandro Epasto
  • 2019 : Coffee Break & Poster Session 2 »
    Juho Lee · Yoonho Lee · Yee Whye Teh · Raymond Yeh · Yuan-Ting Hu · Alex Schwing · Sara Ahmadian · Alessandro Epasto · Marina Knittel · Ravi Kumar · Mohammad Mahdian · Christian Bueno · Aditya Sanghi · Pradeep Kumar Jayaraman · Ignacio Arroyo-Fernández · Andrew Hryniowski · Vinayak Mathur · Sanjay Singh · Shahrzad Haddadan · Vasco Portilheiro · Luna Zhang · Mert Yuksekgonul · Jhosimar Arias Figueroa · Deepak Maurya · Balaraman Ravindran · Frank NIELSEN · Philip Pham · Justin Payan · Andrew McCallum · Jinesh Mehta · Ke SUN
  • 2019 : Contributed Talk - Fair Hierarchical Clustering »
    Sara Ahmadian · Alessandro Epasto · Marina Knittel · Ravi Kumar · Mohammad Mahdian · Philip Pham
  • 2019 : Coffee Break & Poster Session 1 »
    Yan Zhang · Jonathon Hare · Adam Prugel-Bennett · Po Leung · Patrick Flaherty · Pitchaya Wiratchotisatian · Alessandro Epasto · Silvio Lattanzi · Sergei Vassilvitskii · Morteza Zadimoghaddam · Theja Tulabandhula · Fabian Fuchs · Adam Kosiorek · Ingmar Posner · William Hang · Anna Goldie · Sujith Ravi · Azalia Mirhoseini · Yuwen Xiong · Mengye Ren · Renjie Liao · Raquel Urtasun · Haici Zhang · Michele Borassi · Shengda Luo · Andrew Trapp · Geoffroy Dubourg-Felonneau · Yasmeen Kussad · Christopher Bender · Manzil Zaheer · Junier Oliva · Michał Stypułkowski · Maciej Zieba · Austin Dill · Chun-Liang Li · Songwei Ge · Eunsu Kang · Oiwi Parker Jones · Kelvin Ka Wing Wong · Joshua Payne · Yang Li · Azade Nazi · Erkut Erdem · Aykut Erdem · Kevin O'Connor · Juan J Garcia · Maciej Zamorski · Jan Chorowski · Deeksha Sinha · Harry Clifford · John W Cassidy