## Stem pac$ (all stems)

### 20 papers:

- ICML-c2-2014-BrunskillL #learning
- PAC-inspired Option Discovery in Lifelong Reinforcement Learning (EB, LL), pp. 316–324.
- ICML-c2-2014-PentinaL #bound #learning
- A PAC-Bayesian bound for Lifelong Learning (AP, CHL), pp. 991–999.
- ICML-c2-2014-ZhouCL #crowdsourcing #identification #multi
- Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing (YZ, XC, JL), pp. 217–225.
- ICML-c3-2013-GermainHLM #adaptation #approach #classification #linear
- A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers (PG, AH, FL, EM), pp. 738–746.
- ICML-2012-KalyanakrishnanTAS #multi #probability #set
- PAC Subset Selection in Stochastic Multi-armed Bandits (SK, AT, PA, PS), p. 34.
- ICML-2012-MorvantKR #bound #classification #matrix #multi
- PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification (EM, SK, LR), p. 158.
- ICML-2011-GermainLLMS #approach #kernel
- A PAC-Bayes Sample-compression Approach to Kernel Methods (PG, AL, FL, MM, SS), pp. 297–304.
- ICML-2011-RoyLM #bound #polynomial #source code
- From PAC-Bayes Bounds to Quadratic Programs for Majority Votes (JFR, FL, MM), pp. 649–656.
- CIKM-2010-BonifatiWL #distributed #named #peer-to-peer #privacy #social
- SPac: a distributed, peer-to-peer, secure and privacy-aware social space (AB, WHW, RL), pp. 1953–1954.
- ECIR-2010-CoxZFH #approximate #correctness #query #using
- Improving Query Correctness Using Centralized Probably Approximately Correct (PAC) Search (IJC, JZ, RF, LKH), pp. 265–280.
- ICML-2009-GermainLLM #classification #learning #linear
- PAC-Bayesian learning of linear classifiers (PG, AL, FL, MM), pp. 353–360.
- STOC-2006-Feldman #approximate #learning #logic #query
- Hardness of approximate two-level logic minimization and PAC learning with membership queries (VF), pp. 363–372.
- ICML-2006-StrehlLWLL #learning
- PAC model-free reinforcement learning (ALS, LL, EW, JL, MLL), pp. 881–888.
- ICML-2005-LavioletteM #bound #classification
- PAC-Bayes risk bounds for sample-compressed Gibbs classifiers (FL, MM), pp. 481–488.
- TOOLS-EUROPE-2000-DuvalP #design pattern #interactive #kernel #object-oriented #using
- Using the PAC-Amodeus Model and Design Patterns to Make Interactive an Existing Object-Oriented Kernel (TD, FP), pp. 407–418.
- TOOLS-PACIFIC-1999-Hussey #design pattern #specification #using
- Using Design Patterns to Derive PAC Architectures from Object-Z Specifications (AH), pp. 40–51.
- CHI-1997-CalvaryCN #architecture #design
- From Single-User Architectural Design to PAC*: a Generic Software Architecture Model for CSCW (GC, JC, LN), pp. 242–249.
- ICML-1997-Decatur #classification #induction #learning
- PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction (SED), pp. 83–91.
- ICML-1995-AuerHM #theory and practice
- Theory and Applications of Agnostic PAC-Learning with Small Decision Trees (PA, RCH, WM), pp. 21–29.
- ML-1989-Chrisman #bias
- Evaluating Bias During Pac-Learning (LC), pp. 469–471.