Papers
173,579 papers found
Hierarchical Probabilistic Models for Group Anomaly Detection
Liang Xiong, Barnabás Póczos, Jeff Schneider et al.
Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices
Xianxing Zhang, Lawrence Carin, David B. Dunson
High-dimensional Covariance Estimation Based On Gaussian Graphical Models
Shuheng Zhou, Philipp Rütimann, Min Xu et al.
High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions
Animashree Anandkumar, Vincent Tan, Alan S. Willsky
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
Po-ling Loh, Martin J. Wainwright
Higher-Order Correlation Clustering for Image Segmentation
Sungwoong Kim, Sebastian Nowozin, Pushmeet Kohli et al.
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Benjamin Recht, Christopher Re, Stephen Wright et al.
How biased are maximum entropy models?
Jakob H. Macke, Iain Murray, Peter E. Latham
How Do Humans Teach: On Curriculum Learning and Teaching Dimension
Faisal Khan, Bilge Mutlu, Xiaojin Zhu
Hyper-Sparse Optimal Aggregation
Stéphane Gaîffas, Guillaume Lecué
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
Quoc V. Le, Alexandre Karpenko, Jiquan Ngiam et al.
Identification and Representation of Homotopy Classes of Trajectories for Search-based Path Planning in 3D
Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kumar
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis
Shuai Huang, Jing Li, Jieping Ye et al.
Im2Text: Describing Images Using 1 Million Captioned Photographs
Vicente Ordonez, Girish Kulkarni, Tamara L. Berg
Image Parsing with Stochastic Scene Grammar
Yibiao Zhao, Song-chun Zhu
Improved Algorithms for Linear Stochastic Bandits
Yasin Abbasi-yadkori, Dávid Pál, Csaba Szepesvári
Improved Loss Bounds For Multiple Kernel Learning
Zakria Hussain, John Shawe–Taylor
Improved Moves for Truncated Convex Models
M. Pawan Kumar, Olga Veksler, Philip H.S. Torr
Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
Ankan Saha, Ambuj Tewari
Improving Bilingual Projections via Sparse Covariance Matrices
Jagadeesh Jagarlamudi, Raghavendra Udupa, Hal Daumé III et al.
Improving Policy Gradient Estimates with Influence Information
Jervis Pinto, Alan Fern, Tim Bauer et al.
Improving Topic Coherence with Regularized Topic Models
David Newman, Edwin V. Bonilla, Wray Buntine
In All Likelihood, Deep Belief Is Not Enough
Lucas Theis, Sebastian Gerwinn, Fabian Sinz et al.
Inductive reasoning about chimeric creatures
Charles Kemp