Papers
On Collective Robustness of Bagging Against Data Poisoning
Ruoxin Chen, Zenan Li, Jie Li et al.
On Convergence of Gradient Descent Ascent: A Tight Local Analysis
Haochuan Li, Farzan Farnia, Subhro Das et al.
On Distribution Shift in Learning-based Bug Detectors
Jingxuan He, Luca Beurer-Kellner, Martin Vechev
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes
Aravind Reddy, Ryan A. Rossi, Zhao Song et al.
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams
Benjamin Coleman, Benito Geordie, Li Chou et al.
On Implicit Bias in Overparameterized Bilevel Optimization
Paul Vicol, Jonathan P Lorraine, Fabian Pedregosa et al.
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
Weichao Mao, Lin Yang, Kaiqing Zhang et al.
On Last-Iterate Convergence Beyond Zero-Sum Games
Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina et al.
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
Soumyabrata Pal, Arya Mazumdar, Rajat Sen et al.
Online Active Regression
Cheng Chen, Yi Li, Yiming Sun
Online Algorithms with Multiple Predictions
Keerti Anand, Rong Ge, Amit Kumar et al.
Online and Consistent Correlation Clustering
Vincent Cohen-Addad, Silvio Lattanzi, Andreas Maggiori et al.
Online Balanced Experimental Design
David Arbour, Drew Dimmery, Tung Mai et al.
Online Continual Learning through Mutual Information Maximization
Yiduo Guo, Bing Liu, Dongyan Zhao
Online Decision Transformer
Qinqing Zheng, Amy Zhang, Aditya Grover
Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards
Huiwen Jia, Cong Shi, Siqian Shen
Online Learning for Min Sum Set Cover and Pandora’s Box
Evangelia Gergatsouli, Christos Tzamos
Online Learning with Knapsacks: the Best of Both Worlds
Matteo Castiglioni, Andrea Celli, Christian Kroer
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
Tianyi Lin, Aldo Pacchiano, Yaodong Yu et al.
Only tails matter: Average-Case Universality and Robustness in the Convex Regime
Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa et al.
On Measuring Causal Contributions via do-interventions
Yonghan Jung, Shiva Kasiviswanathan, Jin Tian et al.
On Non-local Convergence Analysis of Deep Linear Networks
Kun Chen, Dachao Lin, Zhihua Zhang
On Numerical Integration in Neural Ordinary Differential Equations
Aiqing Zhu, Pengzhan Jin, Beibei Zhu et al.
On the Adversarial Robustness of Causal Algorithmic Recourse
Ricardo Dominguez-Olmedo, Amir H Karimi, Bernhard Schölkopf