Papers
Asynchronous Parallel Coordinate Minimization for MAP Inference
Ofer Meshi, Alexander Schwing
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
Artur Speiser, Jinyao Yan, Evan W Archer et al.
Self-Normalizing Neural Networks
Günter Klambauer, Thomas Unterthiner, Andreas Mayr et al.
Cross-Spectral Factor Analysis
Neil Gallagher, Kyle R Ulrich, Austin Talbot et al.
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening
Kevin Lin, James L Sharpnack, Alessandro Rinaldo et al.
Variance-based Regularization with Convex Objectives
Hongseok Namkoong, John C. Duchi
Poincaré Embeddings for Learning Hierarchical Representations
Maximillian Nickel, Douwe Kiela
One-Sided Unsupervised Domain Mapping
Sagie Benaim, Lior Wolf
Regret Analysis for Continuous Dueling Bandit
Wataru Kumagai
Decoupling "when to update" from "how to update"
Eran Malach, Shai Shalev-Shwartz
Continuous DR-submodular Maximization: Structure and Algorithms
An Bian, Kfir Levy, Andreas Krause et al.
Implicit Regularization in Matrix Factorization
Suriya Gunasekar, Blake E Woodworth, Srinadh Bhojanapalli et al.
A simple model of recognition and recall memory
Nisheeth Srivastava, Edward Vul
Variable Importance Using Decision Trees
Jalil Kazemitabar, Arash Amini, Adam Bloniarz et al.
Renyi Differential Privacy Mechanisms for Posterior Sampling
Joseph Geumlek, Shuang Song, Kamalika Chaudhuri
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces
Songbai Yan, Chicheng Zhang
Unbiased estimates for linear regression via volume sampling
Michal Derezinski, Manfred K. Warmuth
Off-policy evaluation for slate recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal et al.
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts
Raymond Yeh, Jinjun Xiong, Wen-Mei Hwu et al.
Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li et al.
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar et al.
A Meta-Learning Perspective on Cold-Start Recommendations for Items
Manasi Vartak, Arvind Thiagarajan, Conrado Miranda et al.
ExtremeWeather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah, Christopher Beckham, Tegan Maharaj et al.
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
Adarsh Prasad, Alexandru Niculescu-Mizil, Pradeep K Ravikumar
Eigenvalue Decay Implies Polynomial-Time Learnability for Neural Networks
Surbhi Goel, Adam Klivans