Papers
Online Convex Optimization Over Erdos-Renyi Random Networks
Jinlong Lei, Peng Yi, Yiguang Hong et al.
Calibrating CNNs for Lifelong Learning
Pravendra Singh, Vinay Kumar Verma, Pratik Mazumder et al.
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
Arthur Jacot, Berfin Simsek, Francesco Spadaro et al.
A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms
Donghwan Lee, Niao He
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
Kemal Oksuz, Baris Can Cam, Emre Akbas et al.
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei et al.
Improved Analysis of Clipping Algorithms for Non-convex Optimization
Bohang Zhang, Jikai Jin, Cong Fang et al.
Markovian Score Climbing: Variational Inference with KL(p||q)
Christian Naesseth, Fredrik Lindsten, David M. Blei
Model Interpretability through the lens of Computational Complexity
Pablo Barceló, Mikaël Monet, Jorge Pérez et al.
BOSS: Bayesian Optimization over String Spaces
Henry Moss, David Leslie, Daniel Beck et al.
Active Invariant Causal Prediction: Experiment Selection through Stability
Juan L. Gamella, Christina Heinze-Deml
Efficient Algorithms for Device Placement of DNN Graph Operators
Jakub M Tarnawski, Amar Phanishayee, Nikhil Devanur et al.
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
Cornelius Schröder, David Klindt, Sarah Strauss et al.
Certified Monotonic Neural Networks
Xingchao Liu, Xing Han, Na Zhang et al.
Robust Sequence Submodular Maximization
Gamal Sallam, Zizhan Zheng, Jie Wu et al.
Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates
Kaiwen Zhou, Anthony Man-Cho So, James Cheng
Neural Sparse Representation for Image Restoration
Yuchen Fan, Jiahui Yu, Yiqun Mei et al.
Why are Adaptive Methods Good for Attention Models?
Jingzhao Zhang, Sai Praneeth Karimireddy, Andreas Veit et al.
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting
Richard Kurle, Syama Sundar Rangapuram, Emmanuel de Bézenac et al.
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning
Luca Oneto, Michele Donini, Giulia Luise et al.
Learning Augmented Energy Minimization via Speed Scaling
Etienne Bamas, Andreas Maggiori, Lars Rohwedder et al.
First Order Constrained Optimization in Policy Space
Yiming Zhang, Quan Vuong, Keith Ross
A kernel test for quasi-independence
Tamara Fernandez, Wenkai Xu, Marc Ditzhaus et al.
Information Theoretic Regret Bounds for Online Nonlinear Control
Sham Kakade, Akshay Krishnamurthy, Kendall Lowrey et al.