• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 48 matches

• 2023
• 
  Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh:
  Learning to Bid in Contextual First Price Auctions✱. WWW 2023: 3489-3497
• 2022
• 
  Sepehr Abbasi Zadeh, Nikhil Bansal, Guru Guruganesh, Aleksandar Nikolov, Roy Schwartz, Mohit Singh:
  Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems. ACM Trans. Algorithms 18(4): 33:1-33:50 (2022)
• 
  Gagan Aggarwal, Kshipra Bhawalkar, Guru Guruganesh, Andrés Perlroth:
  Maximizing Revenue in the Presence of Intermediaries. ITCS 2022: 1:1-1:22
• 
  Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Kumar Avinava Dubey, Manzil Zaheer:
  A Fourier Approach to Mixture Learning. NeurIPS 2022
• 
  Guru Guruganesh, Aranyak Mehta, Di Wang, Kangning Wang:
  Prior-Independent Auctions for Heterogeneous Bidders. CoRR abs/2207.09429 (2022)
• 
  Mingda Qiao, Guru Guruganesh, Ankit Singh Rawat, Avinava Dubey, Manzil Zaheer:
  A Fourier Approach to Mixture Learning. CoRR abs/2210.02415 (2022)
• 2021
• 
  C. J. Argue, Anupam Gupta, Ziye Tang, Guru Guruganesh:
  Chasing Convex Bodies with Linear Competitive Ratio. J. ACM 68(5): 32:1-32:10 (2021)
• 
  Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi:
  Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions. AAAI 2021: 5399-5406
• 
  Nicholas Monath, Kumar Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu:
  Scalable Hierarchical Agglomerative Clustering. KDD 2021: 1245-1255
• 
  Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Paes Leme, Jon Schneider:
  Contextual Recommendations and Low-Regret Cutting-Plane Algorithms. NeurIPS 2021: 22498-22508
• 
  Guru Guruganesh, Allen Liu, Jon Schneider, Joshua R. Wang:
  Margin-Independent Online Multiclass Learning via Convex Geometry. NeurIPS 2021: 29156-29167
• 
  Guru Guruganesh, Jon Schneider, Joshua R. Wang:
  Contracts under Moral Hazard and Adverse Selection. EC 2021: 563-582
• 
  C. J. Argue, Anupam Gupta, Guru Guruganesh, Ziye Tang:
  Chasing convex bodies with linear competitive ratio (invited paper). STOC 2021: 5
• 
  Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Paes Leme, Jon Schneider:
  Contextual Recommendations and Low-Regret Cutting-Plane Algorithms. CoRR abs/2106.04819 (2021)
• 
  Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh:
  Learning to Bid in Contextual First Price Auctions. CoRR abs/2109.03173 (2021)
• 
  Guru Guruganesh, Allen Liu, Jon Schneider, Joshua R. Wang:
  Margin-Independent Online Multiclass Learning via Convex Geometry. CoRR abs/2111.08057 (2021)
• 
  Gagan Aggarwal, Kshipra Bhawalkar, Guru Guruganesh, Andrés Perlroth:
  Maximizing revenue in the presence of intermediaries. CoRR abs/2111.10472 (2021)
• 2020
• 
  C. J. Argue, Anupam Gupta, Guru Guruganesh:
  Dimension-Free Bounds for Chasing Convex Functions. COLT 2020: 219-241
• 
  Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
  Big Bird: Transformers for Longer Sequences. NeurIPS 2020
• 
  C. J. Argue, Anupam Gupta, Guru Guruganesh, Ziye Tang:
  Chasing Convex Bodies with Linear Competitive Ratio. SODA 2020: 1519-1524
• 
  Sepehr Abbasi Zadeh, Nikhil Bansal, Guru Guruganesh, Aleksandar Nikolov, Roy Schwartz, Mohit Singh:
  Sticky Brownian Rounding and its Applications to Constraint Satisfaction Problems. SODA 2020: 854-873
• 
  C. J. Argue, Anupam Gupta, Guru Guruganesh:
  Dimension-Free Bounds on Chasing Convex Functions. CoRR abs/2005.14058 (2020)
• 
  Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed:
  Big Bird: Transformers for Longer Sequences. CoRR abs/2007.14062 (2020)
• 
  Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi:
  Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions. CoRR abs/2009.06136 (2020)
• 
  Guru Guruganesh, Jon Schneider, Joshua R. Wang:
  Contracts under Moral Hazard and Adverse Selection. CoRR abs/2010.06742 (2020)
• 
  Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gökhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu:
  Scalable Bottom-Up Hierarchical Clustering. CoRR abs/2010.11821 (2020)
• 2019
• 
  Anupam Gupta, Guru Guruganesh, Binghui Peng, David Wajc:
  Stochastic Online Metric Matching. ICALP 2019: 67:1-67:14
• 
  Anupam Gupta, Guru Guruganesh, Binghui Peng, David Wajc:
  Stochastic Online Metric Matching. CoRR abs/1904.09284 (2019)
• 
  C. J. Argue, Anupam Gupta, Guru Guruganesh, Ziye Tang:
  Chasing Convex Bodies with Linear Competitive Ratio. CoRR abs/1905.11877 (2019)
• 2018
• 
  Guruganesh Ramamurthi, Bijnan Bandyopadhyay, Hemendra Arya, G. K. Singh:
  Design and Hardware Implementation of Autopilot Control Laws for MAV Using Super Twisting Control. J. Intell. Robotic Syst. 90(3-4): 455-471 (2018)

skipping 18 more matches