Travelled to:1 × Austria
1 × Canada
1 × China
1 × France
1 × Portugal
2 × Australia
7 × USA
Collaborated with:D.Suciu C.Zhang A.Kumar M.Balazinska M.J.Cafarella H.Q.Ngo A.Rudra J.Letchner C.D.Sa A.Perelman S.Tu J.Shin M.L.Koc B.Kimelfeld X.Feng K.Olukotun E.Jahani M.A.Khamis M.Joglekar H.Garcia-Molina A.G.Parameswaran D.T.Nguyen P.Konda V.Sashikanth E.Porat B.Recht F.Niu A.Doan J.W.Shavlik M.Philipose J.Liu S.Wright V.Bittorf S.Sridhar S.Wu F.Wang V.Govindaraju J.Borchardt T.Foltz S.Peters D.Antenucci E.Li S.Liu B.Zhang J.Boulos N.N.Dalvi B.Mandhani S.Mathur D.Agrawal M.I.Cafarella M.I.Jordan T.Kraska R.Ramakrishnan N.Khoussainova E.Welbourne G.Borriello G.Cole Y.Li J.Walke J.M.Hellerstein F.Schoppmann D.Z.Wang E.Fratkin A.Gorajek K.S.Ng C.Welton K.Li
Talks about:use (9) data (6) probabilist (5) analyt (5) optim (5) demonstr (4) system (4) worst (4) rdbms (4) queri (4)
Person: Christopher Ré
DBLP: R=eacute=:Christopher
Contributed to:
2015
2015
2015
2015201420142014201420132013201220122012201120112010200920082008
200720072005Wrote 33 papers:
- ICML-2015-SaRO #convergence #matrix #probability #problem
- Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems (CDS, CR, KO), pp. 2332–2341.
- PODS-2015-KhamisNRR #geometry #worst-case
- Joins via Geometric Resolutions: Worst-case and Beyond (MAK, HQN, CR, AR), pp. 213–228.
- SIGMOD-2015-JoglekarGPR #correlation #evaluation
- Exploiting Correlations for Expensive Predicate Evaluation (MJ, HGM, AGP, CR), pp. 1183–1198.
- SIGMOD-2015-PerelmanR #compilation #named #query #worst-case
- DunceCap: Compiling Worst-Case Optimal Query Plans (AP, CR), pp. 2075–2076.
- SIGMOD-2015-ReABCJKR #database #machine learning #question
- Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? (CR, DA, MB, MIC, MIJ, TK, RR), pp. 283–284.
- SIGMOD-2015-TuR #named #query #using
- DunceCap: Query Plans Using Generalized Hypertree Decompositions (ST, CR), pp. 2077–2078.
- VLDB-2015-ShinRC #knowledge base #named
- Mindtagger: A Demonstration of Data Labeling in Knowledge Base Construction (JS, CR, MJC), pp. 1920–1931.
- VLDB-2015-ShinWWSZR #incremental #knowledge base #using
- Incremental Knowledge Base Construction Using DeepDive (JS, SW, FW, CDS, CZ, CR), pp. 1310–1321.
- ICML-c2-2014-LiuWRBS #algorithm #coordination #parallel #probability
- An Asynchronous Parallel Stochastic Coordinate Descent Algorithm (JL, SW, CR, VB, SS), pp. 469–477.
- PODS-2014-NgoNRR #analysis #worst-case
- Beyond worst-case analysis for joins with minesweeper (HQN, DTN, CR, AR), pp. 234–245.
- SIGMOD-2014-ZhangKR #feature model #optimisation
- Materialization optimizations for feature selection workloads (CZ, AK, CR), pp. 265–276.
- VLDB-2014-ZhangR #case study #in memory #named #statistics
- DimmWitted: A Study of Main-Memory Statistical Analytics (CZ, CR), pp. 1283–1294.
- SIGMOD-2013-ZhangGBFRP #named #statistics #using
- GeoDeepDive: statistical inference using familiar data-processing languages (CZ, VG, JB, TF, CR, SP), pp. 993–996.
- SIGMOD-2013-ZhangR #case study #scalability #towards
- Towards high-throughput gibbs sampling at scale: a study across storage managers (CZ, CR), pp. 397–408.
- VLDB-2013-AntenucciLLZCR #named
- Ringtail: A Generalized Nowcasting System (DA, EL, SL, BZ, MJC, CR), pp. 1358–1361.
- VLDB-2013-KondaKRS #data analysis #enterprise #feature model #using
- Feature Selection in Enterprise Analytics: A Demonstration using an R-based Data Analytics System (PK, AK, CR, VS), pp. 1306–1309.
- PODS-2012-NgoPRR #algorithm #worst-case
- Worst-case optimal join algorithms: [extended abstract] (HQN, EP, CR, AR), pp. 37–48.
- SIGMOD-2012-FengKRR #architecture #towards
- Towards a unified architecture for in-RDBMS analytics (XF, AK, BR, CR), pp. 325–336.
- VLDB-2012-HellersteinRSWFGNWFLK #library #sql
- The MADlib Analytics Library or MAD Skills, the SQL (JMH, CR, FS, DZW, EF, AG, KSN, CW, XF, KL, AK), pp. 1700–1711.
- VLDB-2012-KumarR11 #probability #using
- Probabilistic Management of OCR Data using an RDBMS (AK, CR), pp. 322–333.
- VLDB-2011-JahaniCR #automation #optimisation #pipes and filters #source code
- Automatic Optimization for MapReduce Programs (EJ, MJC, CR), pp. 385–396.
- VLDB-2011-KocR #classification #incremental #maintenance #using
- Incrementally maintaining classification using an RDBMS (MLK, CR), pp. 302–313.
- VLDB-2011-NiuRDS #logic #markov #named #network #scalability #statistics #using
- Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS (FN, CR, AD, JWS), pp. 373–384.
- PODS-2010-KimelfeldR #markov #sequence
- Transducing Markov sequences (BK, CR), pp. 15–26.
- PODS-2010-ReS #comprehension #estimation #using
- Understanding cardinality estimation using entropy maximization (CR, DS), pp. 53–64.
- VLDB-2009-LetchnerRBP #markov
- Lahar Demonstration: Warehousing Markovian Streams (JL, CR, MB, MP), pp. 1610–1613.
- SIGMOD-2008-KhoussainovaWBBCLLRSW
- A demonstration of Cascadia through a digital diary application (NK, EW, MB, GB, GC, JL, YL, CR, DS, JW), pp. 1319–1322.
- SIGMOD-2008-ReLBS #correlation #probability #query
- Event queries on correlated probabilistic streams (CR, JL, MB, DS), pp. 715–728.
- VLDB-2008-BalazinskaRS #aspect-oriented #data transformation #probability
- Systems aspects of probabilistic data management (MB, CR, DS), pp. 1520–1521.
- VLDB-2008-ReS #approximate #database #probability
- Approximate lineage for probabilistic databases (CR, DS), pp. 797–808.
- CIKM-2007-ReS #nondeterminism
- Management of data with uncertainties (CR, DS), pp. 3–8.
- VLDB-2007-ReS #database #optimisation #probability #query
- Materialized Views in Probabilistic Databases for Information Exchange and Query Optimization (CR, DS), pp. 51–62.
- SIGMOD-2005-BoulosDMMRS #named #using
- MYSTIQ: a system for finding more answers by using probabilities (JB, NND, BM, SM, CR, DS), pp. 891–893.