Papers
Best Arm Identification with Fixed Budget: A Large Deviation Perspective
Po-An Wang, Ruo-Chun Tzeng, Alexandre Proutiere
Beta Diffusion
Mingyuan Zhou, Tianqi Chen, Zhendong Wang et al.
Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation
Peiwen Yuan, Xinglin Wang, Jiayi Shi et al.
Better Private Linear Regression Through Better Private Feature Selection
Travis Dick, Jennifer Gillenwater, Matthew Joseph
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
Jiarong Xu, Renhong Huang, XIN JIANG et al.
Beyond Average Return in Markov Decision Processes
Alexandre Marthe, Aurélien Garivier, Claire Vernade
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions
Tongxin Li, Yiheng Lin, Shaolei Ren et al.
Beyond Confidence: Reliable Models Should Also Consider Atypicality
Mert Yuksekgonul, Linjun Zhang, James Y Zou et al.
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift
Florian Seligmann, Philipp Becker, Michael Volpp et al.
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
Yuki Takezawa, Ryoma Sato, Han Bao et al.
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
Mitchell Ostrow, Adam Eisen, Leo Kozachkov et al.
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
Qingyao Sun, Kevin P. Murphy, Sayna Ebrahimi et al.
Beyond MLE: Convex Learning for Text Generation
Chenze Shao, Zhengrui Ma, Min Zhang et al.
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends
Wang Xinrui, Wenhai Wan, Chuanxing Geng et al.
Beyond Normal: On the Evaluation of Mutual Information Estimators
Paweł Czyż, Frederic Grabowski, Julia Vogt et al.
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time
Arvind Mahankali, Haochen Zhang, Kefan Dong et al.
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense
Zunzhi You, Daochang Liu, Bohyung Han et al.
Beyond probability partitions: Calibrating neural networks with semantic aware grouping
Jia-Qi Yang, De-Chuan Zhan, Le Gan
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik et al.
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation
Myong Chol Jung, He Zhao, Joanna Dipnall et al.
Bias in Evaluation Processes: An Optimization-Based Model
L. Elisa Celis, Amit Kumar, Anay Mehrotra et al.
Bicriteria Approximation Algorithms for the Submodular Cover Problem
Wenjing Chen, Victoria Crawford
Bicriteria Multidimensional Mechanism Design with Side Information
Siddharth Prasad, Maria-Florina F Balcan, Tuomas Sandholm
Bifurcations and loss jumps in RNN training
Lukas Eisenmann, Zahra Monfared, Niclas Göring et al.
Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm
Jie Hao, Kaiyi Ji, Mingrui Liu