Papers
The Coherent Loss Function for Classification
Wenzhuo Yang, Melvyn Sim, Huan Xu
The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation
Sven Kurras, Ulrike Luxburg, Gilles Blanchard
The Falling Factorial Basis and Its Statistical Applications
Yu-Xiang Wang, Alex Smola, Ryan Tibshirani
The Inverse Regression Topic Model
Maxim Rabinovich, David Blei
Thompson Sampling for Complex Online Problems
Aditya Gopalan, Shie Mannor, Yishay Mansour
Time-Regularized Interrupting Options (TRIO)
Timothy Mann, Daniel Mankowitz, Shie Mannor
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data
Zhiyuan Chen, Bing Liu
Towards an optimal stochastic alternating direction method of multipliers
Samaneh Azadi, Suvrit Sra
Towards End-To-End Speech Recognition with Recurrent Neural Networks
Alex Graves, Navdeep Jaitly
Towards Minimax Online Learning with Unknown Time Horizon
Haipeng Luo, Robert Schapire
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach
Rémi Bardenet, Arnaud Doucet, Chris Holmes
Tracking Adversarial Targets
Yasin Abbasi-Yadkori, Peter Bartlett, Varun Kanade
Transductive Learning with Multi-class Volume Approximation
Gang Niu, Bo Dai, Christoffel Plessis et al.
True Online TD(lambda)
Harm Seijen, Rich Sutton
Two-Stage Metric Learning
Jun Wang, Ke Sun, Fei Sha et al.
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models
Robert McGibbon, Bharath Ramsundar, Mohammad Sultan et al.
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis
Jian Tang, Zhaoshi Meng, Xuanlong Nguyen et al.
Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms
Richard Combes, Alexandre Proutiere
Universal Matrix Completion
Srinadh Bhojanapalli, Prateek Jain
Variational Inference for Sequential Distance Dependent Chinese Restaurant Process
Sergey Bartunov, Dmitry Vetrov
Von Mises-Fisher Clustering Models
Siddharth Gopal, Yiming Yang
Wasserstein Propagation for Semi-Supervised Learning
Justin Solomon, Raif Rustamov, Leonidas Guibas et al.
Weighted Graph Clustering with Non-Uniform Uncertainties
Yudong Chen, Shiau Hong Lim, Huan Xu
ABC Reinforcement Learning
Christos Dimitrakakis, Nikolaos Tziortziotis
Active Learning for Multi-Objective Optimization
Marcela Zuluaga, Guillaume Sergent, Andreas Krause et al.