Papers
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations
Tamir Hazan, Subhransu Maji, Tommi Jaakkola
On Poisson Graphical Models
Eunho Yang, Pradeep K Ravikumar, Genevera I Allen et al.
Buy-in-Bulk Active Learning
Liu Yang, Jaime Carbonell
Efficient Algorithm for Privately Releasing Smooth Queries
Ziteng Wang, Kai Fan, Jiaqi Zhang et al.
Eluder Dimension and the Sample Complexity of Optimistic Exploration
Daniel Russo, Benjamin Van Roy
On the Linear Convergence of the Proximal Gradient Method for Trace Norm Regularization
Ke Hou, Zirui Zhou, Anthony Man-Cho So et al.
Restricting exchangeable nonparametric distributions
Sinead A Williamson, Steve N MacEachern, Eric P Xing
Auditing: Active Learning with Outcome-Dependent Query Costs
Sivan Sabato, Anand D Sarwate, Nati Srebro
Solving the multi-way matching problem by permutation synchronization
Deepti Pachauri, Risi Kondor, Vikas Singh
A message-passing algorithm for multi-agent trajectory planning
José Bento, Nate Derbinsky, Javier Alonso-Mora et al.
New Subsampling Algorithms for Fast Least Squares Regression
Paramveer Dhillon, Yichao Lu, Dean P. Foster et al.
Manifold-based Similarity Adaptation for Label Propagation
Masayuki Karasuyama, Hiroshi Mamitsuka
Geometric optimisation on positive definite matrices for elliptically contoured distributions
Suvrit Sra, Reshad Hosseini
Prior-free and prior-dependent regret bounds for Thompson Sampling
Sebastien Bubeck, Che-Yu Liu
Dropout Training as Adaptive Regularization
Stefan Wager, Sida Wang, Percy Liang
Variational Policy Search via Trajectory Optimization
Sergey Levine, Vladlen Koltun
Learning with Noisy Labels
Nagarajan Natarajan, Inderjit S Dhillon, Pradeep K Ravikumar et al.
Linear Convergence with Condition Number Independent Access of Full Gradients
Lijun Zhang, Mehrdad Mahdavi, Rong Jin
Deep Fisher Networks for Large-Scale Image Classification
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Contrastive Learning Using Spectral Methods
James Y Zou, Daniel J. Hsu, David C. Parkes et al.
Bayesian Hierarchical Community Discovery
Charles Blundell, Yee Whye Teh
Stochastic Convex Optimization with Multiple Objectives
Mehrdad Mahdavi, Tianbao Yang, Rong Jin
Wavelets on Graphs via Deep Learning
Raif Rustamov, Leonidas Guibas
Solving inverse problem of Markov chain with partial observations
Tetsuro Morimura, Takayuki Osogami, Tsuyoshi Ide