Papers
On Lower and Upper Bounds in Smooth and Strongly Convex Optimization
Yossi Arjevani, Shai Shalev-Shwartz, Ohad Shamir
On Mixtures of Markov Chains
Rishi Gupta, Ravi Kumar, Sergei Vassilvitskii
On Modeling and Predicting Individual Paper Citation Count over Time
Shuai Xiao, Junchi Yan, Changsheng Li et al.
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu, Saizheng Zhang, Ying Zhang et al.
On Online Attention-Based Speech Recognition and Joint Mandarin Character-Pinyin Training
William Chan, Ian Lane
On Pruning with the MDL Score
Eunice Yuh-Jie Chen, Arthur Choi, Adnan Darwiche
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint
Chong Zhang, Yufeng Liu, Yichao Wu
On Ranking and Choice Models
Shivani Agarwal
On Regularizing Rademacher Observation Losses
Richard Nock
On Robustness of Kernel Clustering
Bowei Yan, Purnamrita Sarkar
On Searching for Generalized Instrumental Variables
Benito Zander, Maciej Liśkiewicz
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes
Alexander G. de G. Matthews, James Hensman, Richard Turner et al.
On Stacking Probabilistic Temporal Models with Bidirectional Information Flow
Thomas Geier, Michael Glodek, Georg Layher et al.
On State-Dominance Criteria in Fork-Decoupled Search
álvaro Torralba, Daniel Gnad, Patrick Dubbert et al.
On Structural Properties of MDPs that Bound Loss Due to Shallow Planning
Nan Jiang, Satinder Singh, Ambuj Tewari
On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search
Piyush Khandelwal, Elad Liebman, Scott Niekum et al.
On the Appropriateness of Complex-Valued Neural Networks for Speech Enhancement
Lukas Drude, Bhiksha Raj, Reinhold Haeb-Umbach
On the Approximability of Sparse PCA
Siu On Chan, Dimitris Papailliopoulos, Aviad Rubinstein
On the capacity of information processing systems
Laurent Massoulie, Kuang Xu
On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting
Matey Neykov, Jun S. Liu, Tianxi Cai
On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models
Emilie Kaufmann, Olivier Cappé, Aurélien Garivier
On the Consistency of Feature Selection With Lasso for Non-linear Targets
Yue Zhang, Weihong Guo, Soumya Ray
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching
Vince Lyzinski, Keith Levin, Donniell E. Fishkind et al.