Papers
173,579 papers found
Minimizing Sparse High-Order Energies by Submodular Vertex-Cover
Andrew Delong, Olga Veksler, Anton Osokin et al.
Minimizing Uncertainty in Pipelines
Nilesh Dalvi, Aditya Parameswaran, Vibhor Rastogi
Mirror Descent Meets Fixed Share (and feels no regret)
Nicolò Cesa-bianchi, Pierre Gaillard, Gabor Lugosi et al.
Mixability in Statistical Learning
Tim V. Erven, Peter Grünwald, Mark D. Reid et al.
Mixability is Bayes Risk Curvature Relative to Log Loss
Tim van Erven, Mark D. Reid, Robert C. Williamson
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions
Mathieu Sinn, Bei Chen
ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel
Stephen R. Piccolo, Lewis J. Frey
Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept
Tetsushi Ikeda, Yoshihiro Chigodo, Daniel Rea et al.
Modelling Reciprocating Relationships with Hawkes Processes
Charles Blundell, Jeff Beck, Katherine A. Heller
Monte Carlo Methods for Maximum Margin Supervised Topic Models
Qixia Jiang, Jun Zhu, Maosong Sun et al.
More Is Better: Large Scale Partially-supervised Sentiment Classification
Yoav Haimovitch, Koby Crammer, Shie Mannor
Movement Segmentation and Recognition for Imitation Learning
Franziska Meier, Evangelos Theodorou, Stefan Schaal
Multi-armed Bandit Problems with History
Pannagadatta Shivaswamy, Thorsten Joachims
Multi-Assignment Clustering for Boolean Data
Mario Frank, Andreas P. Streich, David Basin et al.
MULTIBOOST: A Multi-purpose Boosting Package
Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande et al.
Multiclass Learning Approaches: A Theoretical Comparison with Implications
Amit Daniely, Sivan Sabato, Shai S. Shwartz
Multiclass Learning with Simplex Coding
Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco et al.
Multi-criteria Anomaly Detection using Pareto Depth Analysis
Ko-jen Hsiao, Kevin Xu, Jeff Calder et al.
Multi-Instance Learning with Any Hypothesis Class
Sivan Sabato, Naftali Tishby
Multi Kernel Learning with Online-Batch Optimization
Francesco Orabona, Luo Jie, Barbara Caputo
Multilabel Classification using Bayesian Compressed Sensing
Ashish Kapoor, Raajay Viswanathan, Prateek Jain
Multi-label Subspace Ensemble
Tianyi Zhou, Dacheng Tao
Multimodal Learning with Deep Boltzmann Machines
Nitish Srivastava, Ruslan Salakhutdinov
Multi-objective Monte-Carlo Tree Search
Weijia Wang, Michèle Sebag
Multiple Choice Learning: Learning to Produce Multiple Structured Outputs
Abner Guzmán-rivera, Dhruv Batra, Pushmeet Kohli