Papers
Bayesian Structure Scores for Probabilistic Circuits
Yang Yang, Gennaro Gala, Robert Peharz
Bayesian Variable Selection in a Million Dimensions
Martin Jankowiak
Benign overfitting of non-smooth neural networks beyond lazy training
Xingyu Xu, Yuantao Gu
Beyond Performative Prediction: Open-environment Learning with Presence of Corruptions
Jia-Wei Shan, Peng Zhao, Zhi-Hua Zhou
Blessing of Class Diversity in Pre-training
Yulai Zhao, Jianshu Chen, Simon Du
BlitzMask: Real-Time Instance Segmentation Approach for Mobile Devices
Vitalii Bulygin, Dmytro Mykheievskyi, Kyrylo Kuchynskyi
Boosted Off-Policy Learning
Ben London, Levi Lu, Ted Sandler et al.
Bounding Evidence and Estimating Log-Likelihood in VAE
Łukasz Struski, Marcin Mazur, Paweł Batorski et al.
Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model
Grzegorz Gluch, Khashayar Barooti, Rüdiger Urbanke
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery
Tyler Maunu, Thibaut Le Gouic, Philippe Rigollet
But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI
Charles Marx, Youngsuk Park, Hilaf Hasson et al.
Byzantine-Robust Federated Learning with Optimal Statistical Rates
Banghua Zhu, Lun Wang, Qi Pang et al.
Byzantine-Robust Online and Offline Distributed Reinforcement Learning
Yiding Chen, Xuezhou Zhang, Kaiqing Zhang et al.
Can 5th Generation Local Training Methods Support Client Sampling? Yes!
Michał Grudzień, Grigory Malinovsky, Peter Richtarik
Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity
Xun Qian, Hanze Dong, Tong Zhang et al.
Causal Entropy Optimization
Nicola Branchini, Virginia Aglietti, Neil Dhir et al.
Characterizing Internal Evasion Attacks in Federated Learning
Taejin Kim, Shubhranshu Singh, Nikhil Madaan et al.
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
Nikolaos Nakis, Abdulkadir Celikkanat, Louis Boucherie et al.
Classification of Adolescents’ Risky Behavior in Instant Messaging Conversations
Jaromı́r Plhák, Ondřej Sotolář, Michaela Lebedı́ková et al.
CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision
Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik et al.
Clustering above Exponential Families with Tempered Exponential Measures
Ehsan Amid, Richard Nock, Manfred K. Warmuth
Clustering High-dimensional Data with Ordered Weighted $\ell_1$ Regularization
Chandramauli Chakraborty, Sayan Paul, Saptarshi Chakraborty et al.
Coarse-Grained Smoothness for Reinforcement Learning in Metric Spaces
Omer Gottesman, Kavosh Asadi, Cameron S. Allen et al.
Coherent Probabilistic Forecasting of Temporal Hierarchies
Syama Sundar Rangapuram, Shubham Kapoor, Rajbir Singh Nirwan et al.
Collision Probability Matching Loss for Disentangling Epistemic Uncertainty from Aleatoric Uncertainty
Hiromi Narimatsu, Mayuko Ozawa, Shiro Kumano