24 papers:
- ICML-2015-SzorenyiBWH #approach #multi
- Qualitative Multi-Armed Bandits: A Quantile-Based Approach (BS, RBF, PW, EH), pp. 1660–1668.
- SIGMOD-2013-WangLYC #case study #data type
- Quantiles over data streams: an experimental study (LW, GL, KY, GC), pp. 737–748.
- FoSSaCS-2013-UmmelsB #markov #modelling
- Computing Quantiles in Markov Reward Models (MU, CB), pp. 353–368.
- ICML-c3-2013-GoschinWL
- The Cross-Entropy Method Optimizes for Quantiles (SG, AW, MLL), pp. 1193–1201.
- ICML-c3-2013-YangMM #scalability
- Quantile Regression for Large-scale Applications (JY, XM, MWM), pp. 881–887.
- ASPLOS-2013-OliveiraFDHS #why
- Why you should care about quantile regression (ABdO, SF, AD, MH, PFS), pp. 207–218.
- ICML-2012-BoukouvalasBC #process #using
- Gaussian Process Quantile Regression using Expectation Propagation (AB, RB, DC), p. 123.
- SIGMOD-2011-HuangWYL #algorithm #network
- Sampling based algorithms for quantile computation in sensor networks (ZH, LW, KY, YL), pp. 745–756.
- SIGMOD-2010-TaoYSPL #summary
- Logging every footstep: quantile summaries for the entire history (YT, KY, CS, JP, FL), pp. 639–650.
- PODS-2009-YiZ #distributed
- Optimal tracking of distributed heavy hitters and quantiles (KY, QZ), pp. 167–174.
- ICML-2008-Rosset #kernel
- Bi-level path following for cross validated solution of kernel quantile regression (SR), pp. 840–847.
- ICDAR-2007-RamirezTBR #algorithm #linear #robust
- Quantile Linear Algorithm for Robust Binarization of Digitalized Letters (MR, ET, MB, RR), pp. 1158–1162.
- ICALP-2007-GuhaM #bound #estimation #multi #streaming
- Lower Bounds for Quantile Estimation in Random-Order and Multi-pass Streaming (SG, AM), pp. 704–715.
- CIKM-2007-ZhangW #algorithm #approximate #data type #performance
- An efficient algorithm for approximate biased quantile computation in data streams (QZ, WW), pp. 1023–1026.
- KDD-2007-PerlichRLZ #estimation #modelling
- High-quantile modeling for customer wallet estimation and other applications (CP, SR, RDL, BZ), pp. 977–985.
- PODS-2006-CormodeKMS #algorithm #data type
- Space- and time-efficient deterministic algorithms for biased quantiles over data streams (GC, FK, SM, DS), pp. 263–272.
- PODS-2006-GuhaM #approximate #order
- Approximate quantiles and the order of the stream (SG, AM), pp. 273–279.
- SIGMOD-2005-CormodeGMR #approximate #distributed
- Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles (GC, MNG, SM, RR), pp. 25–36.
- SIGMOD-2005-GovindarajuRM #approximate #mining #performance #using
- Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors (NKG, NR, DM), pp. 611–622.
- PODS-2004-ArasuM #approximate
- Approximate Counts and Quantiles over Sliding Windows (AA, GSM), pp. 286–296.
- VLDB-2002-GilbertKMS #how #maintenance
- How to Summarize the Universe: Dynamic Maintenance of Quantiles (ACG, YK, SM, MS), pp. 454–465.
- KDD-2000-ChenLP #estimation #incremental
- Incremental quantile estimation for massive tracking (FC, DL, JCP), pp. 516–522.
- SIGMOD-1998-RajagopalanML #approximate #memory management
- Approximate Medians and other Quantiles in One Pass and with Limited Memory (GSM, SR, BGL), pp. 426–435.
- VLDB-1997-AlsabtiRS #algorithm
- A One-Pass Algorithm for Accurately Estimating Quantiles for Disk-Resident Data (KA, SR, VS), pp. 346–355.