Papers
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities
Yatin Dandi, Luca Pesce, Hugo Cui et al.
A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries
Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka et al.
A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation
Krishna C Kalagarla, Rahul Jain, Pierluigi Nuzzo
A Safe Exploration Approach to Constrained Markov Decision Processes
Tingting Ni, Maryam Kamgarpour
A Shapley-value Guided Rationale Editor for Rationale Learning
Zixin Kuang, Meng-Fen Chiang, Wang-Chien Lee
A Shared Low-Rank Adaptation Approach to Personalized RLHF
Renpu Liu, Peng Wang, Donghao Li et al.
A Subquadratic Time Approximation Algorithm for Individually Fair k-Center
Matthijs Ebbens, Nicole Funk, Jan Höckendorff et al.
Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs
Firooz Shahriari-Mehr, Ashkan Panahi
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
Chungpa Lee, Jeongheon Oh, Kibok Lee et al.
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
Yingqian Cui, Pengfei He, Xianfeng Tang et al.
A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage
François Bachoc, Tommaso Cesari, Roberto Colomboni
A Unified Evaluation Framework for Epistemic Predictions
Shireen Kudukkil Manchingal, Muhammad Mubashar, Kaizheng Wang et al.
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
Khimya Khetarpal, Zhaohan Daniel Guo, Bernardo Avila Pires et al.
Automatically Adaptive Conformal Risk Control
Vincent Blot, Anastasios Nikolas Angelopoulos, Michael Jordan et al.
Axiomatic Explainer Globalness via Optimal Transport
Davin Hill, Joshua Bone, Aria Masoomi et al.
AxlePro: Momentum-Accelerated Batched Training of Kernel Machines
Yiming Zhang, Parthe Pandit
Balls-and-Bins Sampling for DP-SGD
Lynn Chua, Badih Ghazi, Charlie Harrison et al.
Bandit Pareto Set Identification in a Multi-Output Linear Model
Cyrille Kone, Emilie Kaufmann, Laura Richert
Batch, match, and patch: low-rank approximations for score-based variational inference
Chirag Modi, Diana Cai, Lawrence K. Saul
Bayesian Circular Regression with von Mises Quasi-Processes
Yarden Cohen, Alexandre Khae Wu Navarro, Jes Frellsen et al.
Bayesian Decision Theory on Decision Trees: Uncertainty Evaluation and Interpretability
Yuta Nakahara, Shota Saito, Naoki Ichijo et al.
Bayesian Gaussian Process ODEs via Double Normalizing Flows
JIAN XU, Shian Du, Junmei Yang et al.
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
Imad Aouali, Victor-Emmanuel Brunel, David Rohde et al.
Bayesian Principles Improve Prompt Learning In Vision-Language Models
Mingyu Kim, Jongwoo Ko, Mijung Park