Papers
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity
Tianyi Zhou, Jeff Bilmes
Minimax Estimation of Neural Net Distance
Kaiyi Ji, Yingbin Liang
Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets
Elias Jääsaari, Janne Leppä-aho, Tomi Silander et al.
Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems
Jason Ge, Zhaoran Wang, Mengdi Wang et al.
Minimax Rates and Efficient Algorithms for Noisy Sorting
Cheng Mao, Jonathan Weed, Philippe Rigollet
Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning
Shashank Singh, Barnabas Poczos, Jian Ma
Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes
Shun Zhang, Edmund H. Durfee, Satinder Singh
Minimax Statistical Learning with Wasserstein distances
Jaeho Lee, Maxim Raginsky
Minimizing Adaptive Regret with One Gradient per Iteration
Guanghui Wang, Dakuan Zhao, Lijun Zhang
Mining Cross-Cultural Differences and Similarities in Social Media
Bill Yuchen Lin, Frank F. Xu, Kenny Zhu et al.
Mining Evidences for Concept Stock Recommendation
Qi Liu, Yue Zhang
Mining Multimodal Repositories for Speech Affecting Diseases
Joana Correia, Bhiksha Raj, Isabel Trancoso et al.
Mining on Manifolds: Metric Learning Without Labels
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis et al.
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
Yiru Shen, Chen Feng, Yaoqing Yang et al.
Mining Possessions: Existence, Type and Temporal Anchors
Dhivya Chinnappa, Eduardo Blanco
Mining Streaming and Temporal Data: from Representation to Knowledge
Xiangliang Zhang
Mirrored Langevin Dynamics
Ya-Ping Hsieh, Ali Kavis, Paul Rolland et al.
Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space
Tatsuya Yokota, Burak Erem, Seyhmus Guler et al.
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
Amirali Aghazadeh, Ryan Spring, Daniel Lejeune et al.
Mitigating Adversarial Effects Through Randomization
Cihang Xie, Jianyu Wang, Zhishuai Zhang et al.
Mitigating Bias in Adaptive Data Gathering via Differential Privacy
Seth Neel, Aaron Roth
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference
Prachi Jain, Shikhar Murty, Mausam et al.
Mittens: an Extension of GloVe for Learning Domain-Specialized Representations
Nicholas Dingwall, Christopher Potts
Mix and Match Networks: Encoder-Decoder Alignment for Zero-Pair Image Translation
Yaxing Wang, Joost van de Weijer, Luis Herranz
Mixed batches and symmetric discriminators for GAN training
Thomas LUCAS, Corentin Tallec, Yann Ollivier et al.