Papers
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model
Aleksandr Pak, Justin Ko, Florent Krzakala
Optimal approximation using complex-valued neural networks
Paul Geuchen, Felix Voigtlaender
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning
Zixing Song, Yifei Zhang, Irwin King
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
Optimal cross-learning for contextual bandits with unknown context distributions
Jon Schneider, Julian Zimmert
Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression
Ayoub El Hanchi, Murat A Erdogdu
Optimal Exploration for Model-Based RL in Nonlinear Systems
Andrew Wagenmaker, Guanya Shi, Kevin G. Jamieson
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure
Angela Yuan, Chris Junchi Li, Gauthier Gidel et al.
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Liang Zhang, Junchi YANG, Amin Karbasi et al.
Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments
Trung Dang, Jasper Lee, Maoyuan 'Raymond' Song et al.
Optimality of Message-Passing Architectures for Sparse Graphs
Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath
Optimal Learners for Realizable Regression: PAC Learning and Online Learning
Idan Attias, Steve Hanneke, Alkis Kalavasis et al.
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Chao Chen, Zhihang Fu, Kai Liu et al.
Optimal Preconditioning and Fisher Adaptive Langevin Sampling
Michalis K. Titsias
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning
Georgios Kaissis, Alexander Ziller, Stefan Kolek et al.
Optimal Rates for Bandit Nonstochastic Control
Y. Jennifer Sun, Stephen Newman, Elad Hazan
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework
Ziyi Huang, Henry Lam, Amirhossein Meisami et al.
Optimal testing using combined test statistics across independent studies
Lasse Vuursteen, Botond Szabo, Aad van der Vaart et al.
Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model
Alexander Tyurin, Peter Richtarik
Optimal Transport for Treatment Effect Estimation
Hao Wang, Jiajun Fan, Zhichao Chen et al.
Optimal Transport-Guided Conditional Score-Based Diffusion Model
Xiang Gu, Liwei Yang, Jian Sun et al.
Optimal Transport Model Distributional Robustness
Van-Anh Nguyen, Trung Le, Anh Bui et al.
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
Ting Li, Chengchun Shi, Jianing Wang et al.
Optimal Treatment Regimes for Proximal Causal Learning
Tao Shen, Yifan Cui