Papers
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
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming
Gregory Dexter, Agniva Chowdhury, Haim Avron et al.
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
Hongchang Gao, Junyi Li, Heng Huang
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
Lucas Agussurja, Xinyi Xu, Bryan Kian Hsiang Low
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
Adam Dziedzic, Nikita Dhawan, Muhammad Ahmad Kaleem et al.
On the Effects of Artificial Data Modification
Antonia Marcu, Adam Prugel-Bennett
On the Equivalence Between Temporal and Static Equivariant Graph Representations
Jianfei Gao, Bruno Ribeiro
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
Lai Tian, Kaiwen Zhou, Anthony Man-Cho So
On the Finite-Time Performance of the Knowledge Gradient Algorithm
Yanwen Li, Siyang Gao
On the Generalization Analysis of Adversarial Learning
Waleed Mustafa, Yunwen Lei, Marius Kloft
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil et al.
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
Robert Loftin, Frans A Oliehoek
On the Learning of Non-Autoregressive Transformers
Fei Huang, Tianhua Tao, Hao Zhou et al.
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Jinxin Zhou, Xiao Li, Tianyu Ding et al.
On the Practicality of Deterministic Epistemic Uncertainty
Janis Postels, Mattia Segù, Tao Sun et al.
On the Robustness of CountSketch to Adaptive Inputs
Edith Cohen, Xin Lyu, Jelani Nelson et al.