Papers
Minimal Variance Sampling in Stochastic Gradient Boosting
Bulat Ibragimov, Gleb Gusev
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression
Michał Dereziński, Kenneth L. Clarkson, Michael W. Mahoney et al.
Minimax Learning of Ergodic Markov Chains
Geoffrey Wolfer, Aryeh Kontorovich
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation
Kenta Konagayoshi, Kazuho Watanabe
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases
Xiyang Liu, Sewoong Oh
Minimizers of the Empirical Risk and Risk Monotonicity
Marco Loog, Tom Viering, Alexander Mey
Minimizing Time-to-Rank: A Learning and Recommendation Approach
Haoming Li, Sujoy Sikdar, Rohit Vaish et al.
Minimum Delay Object Detection From Video
Dong Lao, Ganesh Sundaramoorthi
Minimum Divergence vs. Maximum Margin: an Empirical Comparison on Seq2Seq Models
Huan Zhang, Hai Zhao
Minimum Intervention Cover of a Causal Graph
Saravanan Kandasamy, Arnab Bhattacharyya, Vasant G. Honavar
Minimum Stein Discrepancy Estimators
Alessandro Barp, Francois-Xavier Briol, Andrew Duncan et al.
Minimum Volume Topic Modeling
Byoungwook Jang, Alfred Hero
Mining Discourse Markers for Unsupervised Sentence Representation Learning
Damien Sileo, Tim Van De Cruys, Camille Pradel et al.
Mining Entity Synonyms with Efficient Neural Set Generation
Jiaming Shen, Ruiliang Lyu, Xiang Ren et al.
Mining GOLD Samples for Conditional GANs
Sangwoo Mo, Chiheon Kim, Sungwoong Kim et al.
Mining Polysemous Triplets with Recurrent Neural Networks for Spoken Language Understanding
Vedran Vukotić, Christian Raymond
Mining Tweets that refer to TV programs with Deep Neural Networks
Takeshi Kobayakawa, Taro Miyazaki, Hiroki Okamoto et al.
Min-Max Statistical Alignment for Transfer Learning
Samitha Herath, Mehrtash Harandi, Basura Fernando et al.
MintNet: Building Invertible Neural Networks with Masked Convolutions
Yang Song, Chenlin Meng, Stefano Ermon
MIPT System for World-Level Quality Estimation
Mikhail Mosyagin, Varvara Logacheva
MirrorGAN: Learning Text-To-Image Generation by Redescription
Tingting Qiao, Jing Zhang, Duanqing Xu et al.
Mirroring to Build Trust in Digital Assistants
Katherine Metcalf, Barry-John Theobald, Garrett Weinberg et al.
Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions
Hangxin Liu, Chi Zhang, Yixin Zhu et al.
MiSC: Mixed Strategies Crowdsourcing
Ching Yun Ko, Rui Lin, Shu Li et al.
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
Steven Cheng-Xian Li, Bo Jiang, Benjamin Marlin