Papers
Optimization for Approximate Submodularity
Yaron Singer, Avinatan Hassidim
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds
Xiaohan Chen, Jialin Liu, Zhangyang Wang et al.
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
Mingchao Yu, Zhifeng Lin, Krishna Narra et al.
Reinforced Continual Learning
Ju Xu, Zhanxing Zhu
Variance-Reduced Stochastic Gradient Descent on Streaming Data
Ellango Jothimurugesan, Ashraf Tahmasbi, Phillip Gibbons et al.
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits
Bianca Dumitrascu, Karen Feng, Barbara Engelhardt
Sequential Context Encoding for Duplicate Removal
Lu Qi, Shu Liu, Jianping Shi et al.
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization
Rad Niazadeh, Tim Roughgarden, Joshua Wang
Learning Abstract Options
Matthew Riemer, Miao Liu, Gerald Tesauro
Re-evaluating evaluation
David Balduzzi, Karl Tuyls, Julien Perolat et al.
Efficient inference for time-varying behavior during learning
Nicholas A. Roy, Ji Hyun Bak, Athena Akrami et al.
A Retrieve-and-Edit Framework for Predicting Structured Outputs
Tatsunori B Hashimoto, Kelvin Guu, Yonatan Oren et al.
High Dimensional Linear Regression using Lattice Basis Reduction
Ilias Zadik, David Gamarnik
Domain-Invariant Projection Learning for Zero-Shot Recognition
An Zhao, Mingyu Ding, Jiechao Guan et al.
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation
Shivapratap Gopakumar, Sunil Gupta, Santu Rana et al.
Orthogonally Decoupled Variational Gaussian Processes
Hugh Salimbeni, Ching-An Cheng, Byron Boots et al.
The Price of Fair PCA: One Extra dimension
Samira Samadi, Uthaipon Tantipongpipat, Jamie H Morgenstern et al.
Topkapi: Parallel and Fast Sketches for Finding Top-K Frequent Elements
Ankush Mandal, He Jiang, Anshumali Shrivastava et al.
Symbolic Graph Reasoning Meets Convolutions
Xiaodan Liang, Zhiting Hu, Hao Zhang et al.
Sketching Method for Large Scale Combinatorial Inference
Wei Sun, Junwei Lu, Han Liu
Breaking the Activation Function Bottleneck through Adaptive Parameterization
Sebastian Flennerhag, Hujun Yin, John Keane et al.
Diminishing Returns Shape Constraints for Interpretability and Regularization
Maya Gupta, Dara Bahri, Andrew Cotter et al.
MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval
Helena Peic Tukuljac, Antoine Deleforge, Remi Gribonval
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
Justin Fu, Avi Singh, Dibya Ghosh et al.
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision
Rakshith R Shetty, Mario Fritz, Bernt Schiele