Papers
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach
Alexander Lin, Yingzhuo Zhang, Jeremy Heng et al.
HS^2: Active learning over hypergraphs with pointwise and pairwise queries
I (Eli) Chien, Huozhi Zhou, Pan Li
Statistical Optimal Transport via Factored Couplings
Aden Forrow, Jan-Christian Hütter, Mor Nitzan et al.
Interpretable Almost-Exact Matching for Causal Inference
Awa Dieng, Yameng Liu, Sudeepa Roy et al.
Online learning with feedback graphs and switching costs
Anshuka Rangi, Massimo Franceschetti
Modeling simple structures and geometry for better stochastic optimization algorithms
Hilal Asi, John C. Duchi
Fast Algorithms for Sparse Reduced-Rank Regression
Benjamin Dubois, Jean-François Delmas, Guillaume Obozinski
SMOGS: Social Network Metrics of Game Success
Fan Bu, Sonia Xu, Katherine Heller et al.
Avoiding Latent Variable Collapse with Generative Skip Models
Adji B. Dieng, Yoon Kim, Alexander M. Rush et al.
Two-temperature logistic regression based on the Tsallis divergence
Ehsan Amid, Manfred K. Warmuth, Sriram Srinivasan
Unbiased Smoothing using Particle Independent Metropolis-Hastings
Lawrece Middleton, George Deligiannidis, Arnaud Doucet et al.
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
Anton Mallasto, Søren Hauberg, Aasa Feragen
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models
Kaspar Märtens, Michalis Titsias, Christopher Yau
Bernoulli Race Particle Filters
Sebastian M. Schmon, Arnaud Doucet, George Deligiannidis
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems
Rishabh Iyer, Jeffrey Bilmes
Revisiting Adversarial Risk
Arun Sai Suggala, Adarsh Prasad, Vaishnavh Nagarajan et al.
Kernel Exponential Family Estimation via Doubly Dual Embedding
Bo Dai, Hanjun Dai, Arthur Gretton et al.
Interpretable Cascade Classifiers with Abstention
Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre et al.
Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series
Rui Xie, Zengyan Wang, Shuyang Bai et al.
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes
Linfeng Liu, Liping Liu
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding
Nathan Kallus, Xiaojie Mao, Angela Zhou
Least Squares Estimation of Weakly Convex Functions
Sun Sun, Yaoliang Yu
Probabilistic Semantic Inpainting with Pixel Constrained CNNs
Emilien Dupont, Suhas Suresha
Learning Determinantal Point Processes by Corrective Negative Sampling
Zelda Mariet, Mike Gartrell, Suvrit Sra
Consistent Online Optimization: Convex and Submodular
Mohammad Reza Karimi Jaghargh, Andreas Krause, Silvio Lattanzi et al.