Papers
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
Constantinos Daskalakis, Ioannis Panageas
On Markov Chain Gradient Descent
Tao Sun, Yuejiao Sun, Wotao Yin
Stochastic Nested Variance Reduction for Nonconvex Optimization
Dongruo Zhou, Pan Xu, Quanquan Gu
Bayesian Inference of Temporal Task Specifications from Demonstrations
Ankit Shah, Pritish Kamath, Julie A Shah et al.
Semi-Supervised Learning with Declaratively Specified Entropy Constraints
Haitian Sun, William W. Cohen, Lidong Bing
Data-Driven Clustering via Parameterized Lloyd's Families
Maria-Florina F Balcan, Travis Dick, Colin White
Stein Variational Gradient Descent as Moment Matching
Qiang Liu, Dilin Wang
Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms
Kishan Wimalawarne, Hiroshi Mamitsuka
Bayesian Structure Learning by Recursive Bootstrap
Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov et al.
Learning and Inference in Hilbert Space with Quantum Graphical Models
Siddarth Srinivasan, Carlton Downey, Byron Boots
Multi-Class Learning: From Theory to Algorithm
Jian Li, Yong Liu, Rong Yin et al.
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Mike Wu, Noah Goodman
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes
Loucas Pillaud-Vivien, Alessandro Rudi, Francis Bach
Learning in Games with Lossy Feedback
Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey et al.
Adaptive Online Learning in Dynamic Environments
Lijun Zhang, Shiyin Lu, Zhi-Hua Zhou
Hessian-based Analysis of Large Batch Training and Robustness to Adversaries
Zhewei Yao, Amir Gholami, Qi Lei et al.
Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks
Quan Zhang, Mingyuan Zhou
Random Feature Stein Discrepancies
Jonathan Huggins, Lester Mackey
A Model for Learned Bloom Filters and Optimizing by Sandwiching
Michael Mitzenmacher
Learning to Specialize with Knowledge Distillation for Visual Question Answering
Jonghwan Mun, Kimin Lee, Jinwoo Shin et al.
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
Alexander Neitz, Giambattista Parascandolo, Stefan Bauer et al.
On Binary Classification in Extreme Regions
Hamid JALALZAI, Stephan Clémençon, Anne Sabourin
Implicit Bias of Gradient Descent on Linear Convolutional Networks
Suriya Gunasekar, Jason Lee, Daniel Soudry et al.
Neural Arithmetic Logic Units
Andrew Trask, Felix Hill, Scott E Reed et al.