Papers
8,340 papers found
Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals
Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi et al.
Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines
Kohei Ogawa, Motoki Imamura, Ichiro Takeuchi et al.
Intersecting singularities for multi-structured estimation
Emile Richard, Francis BACH, Jean-Philippe Vert
Iterative Learning and Denoising in Convolutional Neural Associative Memories
Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi
Joint Transfer and Batch-mode Active Learning
Rita Chattopadhyay, Wei Fan, Ian Davidson et al.
Kernelized Bayesian Matrix Factorization
Mehmet Gönen, Suleiman Khan, Samuel Kaski
Label Partitioning For Sublinear Ranking
Jason Weston, Ameesh Makadia, Hector Yee
Large-Scale Bandit Problems and KWIK Learning
Jacob Abernethy, Kareem Amin, Michael Kearns et al.
Large-Scale Learning with Less RAM via Randomization
Daniel Golovin, D. Sculley, Brendan McMahan et al.
LDA Topic Model with Soft Assignment of Descriptors to Words
Daphna Weinshall, Gal Levi, Dmitri Hanukaev
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines
Kihyuk Sohn, Guanyu Zhou, Chansoo Lee et al.
Learning an Internal Dynamics Model from Control Demonstration
Matthew Golub, Steven Chase, Byron Yu
Learning Connections in Financial Time Series
Gartheeban Ganeshapillai, John Guttag, Andrew Lo
Learning Convex QP Relaxations for Structured Prediction
Jeremy Jancsary, Sebastian Nowozin, Carsten Rother
Learning Fair Representations
Rich Zemel, Yu Wu, Kevin Swersky et al.
Learning from Human-Generated Lists
Kwang-Sung Jun, Jerry Zhu, Burr Settles et al.
Learning Hash Functions Using Column Generation
Xi Li, Guosheng Lin, Chunhua Shen et al.
Learning Heteroscedastic Models by Convex Programming under Group Sparsity
Arnak Dalalyan, Mohamed Hebiri, Katia Meziani et al.
Learning invariant features by harnessing the aperture problem
Roland Memisevic, Georgios Exarchakis
Learning Linear Bayesian Networks with Latent Variables
Animashree Anandkumar, Daniel Hsu, Adel Javanmard et al.
Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space
Javier Almingol, Lui Montesano, Manuel Lopes
Learning Optimally Sparse Support Vector Machines
Andrew Cotter, Shai Shalev-Shwartz, Nati Srebro
Learning Policies for Contextual Submodular Prediction
Stephane Ross, Jiaji Zhou, Yisong Yue et al.
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression
Toby Hocking, Guillem Rigaill, Jean-Philippe Vert et al.
Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation
Hema Koppula, Ashutosh Saxena