Papers
A Non-Asymptotic Analysis for Stein Variational Gradient Descent
Anna Korba, Adil Salim, Michael Arbel et al.
An operator view of policy gradient methods
Dibya Ghosh, Marlos C. Machado, Nicolas Le Roux
An Optimal Elimination Algorithm for Learning a Best Arm
Avinatan Hassidim, Ron Kupfer, Yaron Singer
A Novel Approach for Constrained Optimization in Graphical Models
Sara Rouhani, Tahrima Rahman, Vibhav Gogate
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances
Dieqiao Feng, Carla P. Gomes, Bart Selman
A novel variational form of the Schatten-$p$ quasi-norm
Paris Giampouras, Rene Vidal, Athanasios Rontogiannis et al.
An Unbiased Risk Estimator for Learning with Augmented Classes
Yu-Jie Zhang, Peng Zhao, Lanjihong Ma et al.
An Unsupervised Information-Theoretic Perceptual Quality Metric
Sangnie Bhardwaj, Ian Fischer, Johannes Ballé et al.
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection
Hao Zhu, Chaoyou Fu, Qianyi Wu et al.
A polynomial-time algorithm for learning nonparametric causal graphs
Ming Gao, Yi Ding, Bryon Aragam
Applications of Common Entropy for Causal Inference
Murat Kocaoglu, Sanjay Shakkottai, Alexandros G Dimakis et al.
Approximate Cross-Validation for Structured Models
Soumya Ghosh, Will Stephenson, Tin D Nguyen et al.
Approximate Cross-Validation with Low-Rank Data in High Dimensions
Will Stephenson, Madeleine Udell, Tamara Broderick
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou et al.
Approximation Based Variance Reduction for Reparameterization Gradients
Tomas Geffner, Justin Domke
A Randomized Algorithm to Reduce the Support of Discrete Measures
Francesco Cosentino, Harald Oberhauser, Alessandro Abate
A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent
Zhenyu Liao, Romain Couillet, Michael W. Mahoney
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
Kemal Oksuz, Baris Can Cam, Emre Akbas et al.
ARMA Nets: Expanding Receptive Field for Dense Prediction
Jiahao Su, Shiqi Wang, Furong Huang
A Robust Functional EM Algorithm for Incomplete Panel Count Data
Alexander Moreno, Zhenke Wu, Jamie Roslyn Yap et al.
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning
Jinhyun So, Basak Guler, Salman Avestimehr
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
Haoran Zhu, Pavankumar Murali, Dzung Phan et al.
A Self-Tuning Actor-Critic Algorithm
Tom Zahavy, Zhongwen Xu, Vivek Veeriah et al.
A shooting formulation of deep learning
François-Xavier Vialard, Roland Kwitt, Susan Wei et al.
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration
Kevin Scaman, Ludovic DOS SANTOS, Merwan Barlier et al.