| 2013 | ||
|---|---|---|
| i8 | Barnabás Póczos, Alessandro Rinaldo, Aarti Singh, Larry A. Wasserman: Distribution-Free Distribution Regression. CoRR abs/1302.0082 (2013) | |
| 2012 | ||
| j11 | Barnabás Póczos, Jeff G. Schneider: Nonparametric Estimation of Conditional Information and Divergences. Journal of Machine Learning Research - Proceedings Track 22: 914-923 (2012) | |
| j10 | Zoltán Szabó, Barnabás Póczos, András Lörincz: Separation theorem for independent subspace analysis and its consequences. Pattern Recognition 45(4): 1782-1791 (2012) | |
| c19 | Barnabás Póczos, Liang Xiong, Dougal J. Sutherland, Jeff G. Schneider: Nonparametric kernel estimators for image classification. CVPR 2012: 2989-2996 | |
| c18 | Zoltán Szabó, Barnabás Póczos, András Lörincz: Collaborative Filtering via Group-Structured Dictionary Learning. LVA/ICA 2012: 247-254 | |
| c17 | Barnabás Póczos, Zoubin Ghahramani, Jeff G. Schneider: Copula-based Kernel Dependency Measures. ICML 2012 | |
| i7 | Zoltán Szabó, Barnabás Póczos, András Lörincz: Collaborative Filtering via Group-Structured Dictionary Learning. CoRR abs/1201.0341 (2012) | |
| i6 | Barnabás Póczos, Liang Xiong, Dougal J. Sutherland, Jeff G. Schneider: Support Distribution Machines. CoRR abs/1202.0302 (2012) | |
| i5 | Barnabás Póczos, Liang Xiong, Jeff G. Schneider: Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions. CoRR abs/1202.3758 (2012) | |
| i4 | Barnabás Póczos, Zoubin Ghahramani, Jeff G. Schneider: Copula-based Kernel Dependency Measures. CoRR abs/1206.4682 (2012) | |
| 2011 | ||
| j9 | Barnabás Póczos, Jeff G. Schneider: On the Estimation of alpha-Divergences. Journal of Machine Learning Research - Proceedings Track 15: 609-617 (2011) | |
| j8 | Liang Xiong, Barnabás Póczos, Jeff G. Schneider, Andrew Connolly, Jake VanderPlas: Hierarchical Probabilistic Models for Group Anomaly Detection. Journal of Machine Learning Research - Proceedings Track 15: 789-797 (2011) | |
| c16 | Zoltán Szabó, Barnabás Póczos, András Lörincz: Online group-structured dictionary learning. CVPR 2011: 2865-2872 | |
| c15 | Liang Xiong, Barnabás Póczos, Jeff G. Schneider: Group Anomaly Detection using Flexible Genre Models. NIPS 2011: 1071-1079 | |
| c14 | Barnabás Póczos, Liang Xiong, Jeff G. Schneider: Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions. UAI 2011: 599-608 | |
| 2010 | ||
| j7 | Barnabás Póczos, Sergey Kirshner, Csaba Szepesvári: REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization. Journal of Machine Learning Research - Proceedings Track 9: 605-612 (2010) | |
| j6 | Zoltán Szabó, Barnabás Póczos, András Lörincz: Auto-regressive independent process analysis without combinatorial efforts. Pattern Anal. Appl. 13(1): 1-13 (2010) | |
| c13 | Siamak (Moshen) Ravanbakhsh, Barnabás Póczos, Russell Greiner: A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra. AAAI 2010 | |
| c12 | Liuyang Li, Barnabás Póczos, Csaba Szepesvári, Russell Greiner: Budgeted Distribution Learning of Belief Net Parameters. ICML 2010: 879-886 | |
| c11 | Dávid Pál, Barnabás Póczos, Csaba Szepesvári: Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs. NIPS 2010: 1849-1857 | |
| i3 | Dávid Pál, Barnabás Póczos, Csaba Szepesvári: Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs. CoRR abs/1003.1954 (2010) | |
| 2009 | ||
| j5 | Barnabás Póczos, András Lörincz: Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques. Journal of Machine Learning Research 10: 515-554 (2009) | |
| c10 | Barnabás Póczos, Yasin Abbasi-Yadkori, Csaba Szepesvári, Russell Greiner, Nathan R. Sturtevant: Learning when to stop thinking and do something! ICML 2009: 104 | |
| 2008 | ||
| c9 | Sergey Kirshner, Barnabás Póczos: ICA and ISA using Schweizer-Wolff measure of dependence. ICML 2008: 464-471 | |
| i2 | Barnabás Póczos, András Lörincz: D-optimal Bayesian Interrogation for Parameter and Noise Identification of Recurrent Neural Networks. CoRR abs/0801.1883 (2008) | |
| 2007 | ||
| j4 | Zoltán Szabó, Barnabás Póczos, András Lörincz: Undercomplete Blind Subspace Deconvolution. Journal of Machine Learning Research 8: 1063-1095 (2007) | |
| c8 | Zoltán Szabó, Barnabás Póczos, András Lörincz: Undercomplete Blind Subspace Deconvolution Via Linear Prediction. ECML 2007: 740-747 | |
| c7 | Barnabás Póczos, Zoltán Szabó, Melinda Kiszlinger, András Lörincz: Independent Process Analysis Without a Priori Dimensional Information. ICA 2007: 252-259 | |
| c6 | Zoltán Szabó, Barnabás Póczos, Gábor Szirtes, András Lörincz: Post Nonlinear Independent Subspace Analysis. ICANN (1) 2007: 677-686 | |
| 2006 | ||
| j3 | Barnabás Póczos, András Lörincz: Non-combinatorial estimation of independent autoregressive sources. Neurocomputing 69(16-18): 2416-2419 (2006) | |
| c5 | Zoltán Szabó, Barnabás Póczos, András Lörincz: Cross-Entropy Optimization for Independent Process Analysis. ICA 2006: 909-916 | |
| 2005 | ||
| j2 | Gábor Szirtes, Barnabás Póczos, András Lörincz: Neural Kalman filter. Neurocomputing 65-66: 349-355 (2005) | |
| c4 | Barnabás Póczos, Bálint Takács, András Lörincz: Independent Subspace Analysis on Innovations. ECML 2005: 698-706 | |
| c3 | Barnabás Póczos, András Lörincz: Independent Subspace Analysis Using k-Nearest Neighborhood Distances. ICANN (2) 2005: 163-168 | |
| c2 | Barnabás Póczos, András Lörincz: Independent subspace analysis using geodesic spanning trees. ICML 2005: 673-680 | |
| 2003 | ||
| j1 | András Lörincz, Barnabás Póczos: Cost Component Analysis. Int. J. Neural Syst. 13(3): 183-192 (2003) | |
| i1 | Barnabás Póczos, András Lörincz: Kalman-filtering using local interactions. CoRR cs.AI/0302039 (2003) | |
| 2002 | ||
| c1 | Botond Szatmáry, Barnabás Póczos, Julian Eggert, Edgar Körner, András Lörincz: Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms. ECAI 2002: 503-507 | |
Colors in the list of coauthors
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