Author Information

Sara Ahmadian (Google)

Alessandro Epasto (Google)

I am a staff 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, privacy, and large scale graphs analysis.

Marina Knittel (University of Maryland, College Park)

Ravi Kumar (Google)

Mohammad Mahdian (Google Research)

Philip Pham (Google)

SWE @Waymo

More from the Same Authors

• 2022 : Scalable and Improved Algorithms for Individually Fair Clustering »
  Mohammadhossein Bateni · Vincent Cohen-Addad · Alessandro Epasto · Silvio Lattanzi
• 2022 : Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank »
  Alessandro Epasto · Vahab Mirrokni · Bryan Perozzi · Anton Tsitsulin · Peilin Zhong
• 2023 : A new Framework for Measuring Re-Identification Risk »
  CJ Carey · Travis Dick · Alessandro Epasto · Adel Javanmard · Josh Karlin · Shankar Kumar · Andres Munoz Medina · Vahab Mirrokni · Gabriel H. Nunes · Sergei Vassilvitskii · Peilin Zhong
• 2023 Poster: Sparsity-Preserving Differentially Private Training of Large Embedding Models »
  Badih Ghazi · Yangsibo Huang · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Amer Sinha · Chiyuan Zhang
• 2023 Poster: Fair, Polylog-Approximate Low-Cost Hierarchical Clustering »
  Marina Knittel · Max Springer · John Dickerson · MohammadTaghi Hajiaghayi
• 2023 Poster: Optimal Unbiased Randomizers for Regression with Label Differential Privacy »
  Ashwinkumar Badanidiyuru Varadaraja · Badih Ghazi · Pritish Kamath · Ravi Kumar · Ethan Leeman · Pasin Manurangsi · Avinash V Varadarajan · Chiyuan Zhang
• 2023 Poster: $k$-Means Clustering with Distance-Based Privacy »
  Alessandro Epasto · Vahab Mirrokni · Shyam Narayanan · Peilin Zhong
• 2023 Poster: Private estimation algorithms for stochastic block models and mixture models »
  Hongjie Chen · Vincent Cohen-Addad · Tommaso d’Orsi · Alessandro Epasto · Jacob Imola · David Steurer · Stefan Tiegel
• 2023 Poster: On Differentially Private Sampling from Gaussian and Product Distributions »
  Badih Ghazi · Xiao Hu · Ravi Kumar · Pasin Manurangsi
• 2023 Poster: User-Level Differential Privacy With Few Examples Per User »
  Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Raghu Meka · Chiyuan Zhang
• 2023 Poster: On Computing Pairwise Statistics with Local Differential Privacy »
  Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Adam Sealfon
• 2023 Oral: User-Level Differential Privacy With Few Examples Per User »
  Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Raghu Meka · Chiyuan Zhang
• 2022 Poster: Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank »
  Alessandro Epasto · Vahab Mirrokni · Bryan Perozzi · Anton Tsitsulin · Peilin Zhong
• 2022 Poster: Near-Optimal Private and Scalable $k$-Clustering »
  Vincent Cohen-Addad · Alessandro Epasto · Vahab Mirrokni · Shyam Narayanan · Peilin Zhong
• 2022 Poster: Private Isotonic Regression »
  Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi
• 2022 Poster: Anonymized Histograms in Intermediate Privacy Models »
  Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi
• 2021 Poster: User-Level Differentially Private Learning via Correlated Sampling »
  Badih Ghazi · Ravi Kumar · Pasin Manurangsi
• 2021 Poster: Logarithmic Regret from Sublinear Hints »
  Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit
• 2021 Poster: Deep Learning with Label Differential Privacy »
  Badih Ghazi · Noah Golowich · Ravi Kumar · Pasin Manurangsi · Chiyuan Zhang
• 2021 Poster: Online Knapsack with Frequency Predictions »
  Sungjin Im · Ravi Kumar · Mahshid Montazer Qaem · Manish Purohit
• 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 · Ben Moseley · Philip Pham · Sergei Vassilvitskii · Yuyan Wang
• 2020 Poster: Online Linear Optimization with Many Hints »
  Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit
• 2020 Poster: Smoothly Bounding User Contributions in Differential Privacy »
  Alessandro Epasto · Mohammad Mahdian · Jieming Mao · Vahab Mirrokni · Lijie Ren
• 2020 Poster: Differentially Private Clustering: Tight Approximation Ratios »
  Badih Ghazi · Ravi Kumar · Pasin Manurangsi
• 2020 Oral: Differentially Private Clustering: Tight Approximation Ratios »
  Badih Ghazi · Ravi Kumar · Pasin Manurangsi
• 2020 Poster: Big Bird: Transformers for Longer Sequences »
  Manzil Zaheer · Guru Guruganesh · Kumar Avinava Dubey · Joshua Ainslie · Chris Alberti · Santiago Ontanon · Philip Pham · Anirudh Ravula · Qifan Wang · Li Yang · Amr Ahmed
• 2020 : Learning Multiple Embeddings »
  Alessandro Epasto
• 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 A. 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 : 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
• 2019 Poster: Efficient Rematerialization for Deep Networks »
  Ravi Kumar · Manish Purohit · Zoya Svitkina · Erik Vee · Joshua Wang
• 2019 Poster: Contextual Bandits with Cross-Learning »
  Santiago Balseiro · Negin Golrezaei · Mohammad Mahdian · Vahab Mirrokni · Jon Schneider
• 2018 Poster: Mallows Models for Top-k Lists »
  Flavio Chierichetti · Anirban Dasgupta · Shahrzad Haddadan · Ravi Kumar · Silvio Lattanzi
• 2018 Poster: Improving Online Algorithms via ML Predictions »
  Manish Purohit · Zoya Svitkina · Ravi Kumar
• 2017 Poster: Fair Clustering Through Fairlets »
  Flavio Chierichetti · Ravi Kumar · Silvio Lattanzi · Sergei Vassilvitskii
• 2017 Spotlight: Fair Clustering Through Fairlets »
  Flavio Chierichetti · Ravi Kumar · Silvio Lattanzi · Sergei Vassilvitskii
• 2016 Poster: Community Detection on Evolving Graphs »
  Stefano Leonardi · Aris Anagnostopoulos · Jakub Łącki · Silvio Lattanzi · Mohammad Mahdian