Papers
GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis
Eemeli Leppäaho, Muhammad Ammad-ud-din, Samuel Kaski
Bridging Supervised Learning and Test-Based Co-optimization
Elena Popovici
Nearly optimal classification for semimetrics
Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
Simplifying Probabilistic Expressions in Causal Inference
Santtu Tikka, Juha Karvanen
A Spectral Algorithm for Inference in Hidden semi-Markov Models
Igor Melnyk, Arindam Banerjee
Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning
Jamshid Sourati, Murat Akcakaya, Todd K. Leen et al.
Online Bayesian Passive-Aggressive Learning
Tianlin Shi, Jun Zhu
Nonparametric Risk Bounds for Time-Series Forecasting
Daniel J. McDonald, Cosma Rohilla Shalizi, Mark Schervish
Preference-based Teaching
Ziyuan Gao, Christoph Ries, Hans U. Simon et al.
Group Sparse Optimization via lp,q Regularization
Yaohua Hu, Chong Li, Kaiwen Meng et al.
Certifiably Optimal Low Rank Factor Analysis
Dimitris Bertsimas, Martin S. Copenhaver, Rahul Mazumder
Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models
Alexandre Bouchard-Côté, Arnaud Doucet, Andrew Roth
Generalized Pólya Urn for Time-Varying Pitman-Yor Processes
François Caron, Willie Neiswanger, Frank Wood et al.
POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty
Maxim Egorov, Zachary N. Sunberg, Edward Balaban et al.
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA
Lars Kotthoff, Chris Thornton, Holger H. Hoos et al.
Identifying a Minimal Class of Models for High--dimensional Data
Daniel Nevo, Ya'acov Ritov
Analyzing Tensor Power Method Dynamics in Overcomplete Regime
Animashree Anandkumar, Rong Ge, Majid Janzamin
Memory Efficient Kernel Approximation
Si Si, Cho-Jui Hsieh, Inderjit S. Dhillon
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles
Yann Ollivier, Ludovic Arnold, Anne Auger et al.
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
Guillaume Lemaître, Fernando Nogueira, Christos K. Aridas
A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification
Naoki Ito, Akiko Takeda, Kim-Chuan Toh
Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters
Jacques Wainer, Gavin Cawley