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Oluwasanmi Koyejo
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Publications
- 2019
- [c43]Rajiv Khanna, Been Kim, Joydeep Ghosh, Sanmi Koyejo:
Interpreting Black Box Predictions using Fisher Kernels. AISTATS 2019: 3382-3390 - [i26]Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk, Been Kim, Joydeep Ghosh:
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems. CoRR abs/1907.09615 (2019) - 2018
- [i14]Shalmali Joshi, Oluwasanmi Koyejo, Been Kim, Joydeep Ghosh:
xGEMs: Generating Examplars to Explain Black-Box Models. CoRR abs/1806.08867 (2018) - [i11]Rajiv Khanna, Been Kim, Joydeep Ghosh, Oluwasanmi Koyejo:
Interpreting Black Box Predictions using Fisher Kernels. CoRR abs/1810.10118 (2018) - 2017
- [c29]Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo:
Frequency Domain Predictive Modelling with Aggregated Data. AISTATS 2017: 971-980 - [c28]Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo:
Information Projection and Approximate Inference for Structured Sparse Variables. AISTATS 2017: 1358-1366 - [c26]Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo:
A Deflation Method for Structured Probabilistic PCA. SDM 2017: 534-542 - 2016
- [j6]Shalmali Joshi, Joydeep Ghosh, Mark Reid, Oluwasanmi Koyejo:
Rényi divergence minimization based co-regularized multiview clustering. Mach. Learn. 104(2-3): 411-439 (2016) - [c25]Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo:
Sparse Parameter Recovery from Aggregated Data. ICML 2016: 1090-1099 - [c21]Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh:
Preference Completion from Partial Rankings. NIPS 2016: 1370-1378 - [i9]Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo:
Generalized Linear Models for Aggregated Data. CoRR abs/1605.04466 (2016) - [i7]Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo:
Information Projection and Approximate Inference for Structured Sparse Variables. CoRR abs/1607.03204 (2016) - [i6]Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh:
Preference Completion from Partial Rankings. CoRR abs/1611.04218 (2016) - 2015
- [c19]Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo:
Generalized Linear Models for Aggregated Data. AISTATS 2015 - [c18]Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo:
Sparse Submodular Probabilistic PCA. AISTATS 2015 - [c17]Shalmali Joshi, Oluwasanmi Koyejo, Kristine Resurreccion, Joydeep Ghosh:
Simultaneous Prognosis and Exploratory Analysis of Multiple Chronic Conditions Using Clinical Notes. ICHI 2015: 243-252 - [c16]Shalmali Joshi, Oluwasanmi Koyejo, Joydeep Ghosh:
Simultaneous Prognosis of Multiple Chronic Conditions from Heterogeneous EHR Data. ICHI 2015: 497 - 2014
- [j4]Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh:
A constrained matrix-variate Gaussian process for transposable data. Mach. Learn. 97(1-2): 103-127 (2014) - [c14]Oluwasanmi Koyejo, Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack:
On Prior Distributions and Approximate Inference for Structured Variables. NIPS 2014: 676-684 - [i4]Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh:
A Constrained Matrix-Variate Gaussian Process for Transposable Data. CoRR abs/1404.6702 (2014) - 2013
- [c11]Mijung Park, Oluwasanmi Koyejo, Joydeep Ghosh, Russell A. Poldrack, Jonathan W. Pillow:
Bayesian Structure Learning for Functional Neuroimaging. AISTATS 2013: 489-497 - [c10]Cheng H. Lee, Oluwasanmi Koyejo, Joydeep Ghosh:
Identifying candidate disease genes using a trace norm constrained bipartite raking model. EMBC 2013: 3459-3462 - [c9]Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh:
Constrained Gaussian Process Regression for Gene-Disease Association. ICDM Workshops 2013: 72-79 - [c8]Oluwasanmi Koyejo, Priyank Patel, Joydeep Ghosh, Russell A. Poldrack:
Learning Predictive Cognitive Structure from fMRI Using Supervised Topic Models. PRNI 2013: 9-12 - [c7]Oluwasanmi Koyejo, Sreangsu Acharyya, Joydeep Ghosh:
Retargeted matrix factorization for collaborative filtering. RecSys 2013: 49-56 - [c6]Oluwasanmi Koyejo, Joydeep Ghosh:
Constrained Bayesian Inference for Low Rank Multitask Learning. UAI 2013 - [i3]Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh:
The trace norm constrained matrix-variate Gaussian process for multitask bipartite ranking. CoRR abs/1302.2576 (2013) - [i2]Oluwasanmi Koyejo, Joydeep Ghosh:
Constrained Bayesian Inference for Low Rank Multitask Learning. CoRR abs/1309.6840 (2013) - 2012
- [c5]Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh:
Learning to Rank With Bregman Divergences and Monotone Retargeting. UAI 2012: 15-25 - [i1]Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh:
Learning to Rank With Bregman Divergences and Monotone Retargeting. CoRR abs/1210.4851 (2012) - 2011
- [c4]Oluwasanmi Koyejo, Joydeep Ghosh:
A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systems. HetRec@RecSys 2011: 9-16 - 2009
- [c1]Oluwasanmi Koyejo, Joydeep Ghosh:
MiPPS: A Generative Model for Multi-Manifold Clustering. AAAI Fall Symposium: Manifold Learning and Its Applications 2009
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