Papers
8,340 papers found
Making Fisher Discriminant Analysis Scalable
Bojun Tu, Zhihua Zhang, Shusen Wang et al.
Marginalized Denoising Auto-encoders for Nonlinear Representations
Minmin Chen, Kilian Weinberger, Fei Sha et al.
Marginal Structured SVM with Hidden Variables
Wei Ping, Qiang Liu, Alex Ihler
Margins, Kernels and Non-linear Smoothed Perceptrons
Aaditya Ramdas, Javier Peña
Maximum Margin Multiclass Nearest Neighbors
Aryeh Kontorovich, Roi Weiss
Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection
Arun Iyer, Saketha Nath, Sunita Sarawagi
Max-Margin Infinite Hidden Markov Models
Aonan Zhang, Jun Zhu, Bo Zhang
Memory and Computation Efficient PCA via Very Sparse Random Projections
Farhad Pourkamali Anaraki, Shannon Hughes
Memory (and Time) Efficient Sequential Monte Carlo
Seong-Hwan Jun, Alexandre Bouchard-Côté
Memory Efficient Kernel Approximation
Si Si, Cho-Jui Hsieh, Inderjit Dhillon
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison
Borja Balle, William Hamilton, Joelle Pineau
Min-Max Problems on Factor Graphs
Siamak Ravanbakhsh, Christopher Srinivasa, Brendan Frey et al.
Model-Based Relational RL When Object Existence is Partially Observable
Ngo Ahn Vien, Marc Toussaint
Modeling Correlated Arrival Events with Latent Semi-Markov Processes
Wenzhao Lian, Vinayak Rao, Brian Eriksson et al.
Multi-label Classification via Feature-aware Implicit Label Space Encoding
Zijia Lin, Guiguang Ding, Mingqing Hu et al.
Multimodal Neural Language Models
Ryan Kiros, Ruslan Salakhutdinov, Rich Zemel
Multi-period Trading Prediction Markets with Connections to Machine Learning
Jinli Hu, Amos Storkey
Multiple Testing under Dependence via Semiparametric Graphical Models
Jie Liu, Chunming Zhang, Elizabeth Burnside et al.
Multiresolution Matrix Factorization
Risi Kondor, Nedelina Teneva, Vikas Garg
Multivariate Maximal Correlation Analysis
Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken et al.
Narrowing the Gap: Random Forests In Theory and In Practice
Misha Denil, David Matheson, Nando De Freitas
(Near) Dimension Independent Risk Bounds for Differentially Private Learning
Prateek Jain, Abhradeep Guha Thakurta
Nearest Neighbors Using Compact Sparse Codes
Anoop Cherian
Near-Optimal Joint Object Matching via Convex Relaxation
Yuxin Chen, Leonidas Guibas, Qixing Huang