Papers
4,025 papers found
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
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models
Ankur Ankan, Inge Wortel, Kenneth Bollen et al.
Competing against Adaptive Strategies in Online Learning via Hints
Aditya Bhaskara, Kamesh Munagala
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel
Jonas Wacker, Ruben Ohana, Maurizio Filippone
Compositional Probabilistic and Causal Inference using Tractable Circuit Models
Benjie Wang, Marta Kwiatkowska
Compress Then Test: Powerful Kernel Testing in Near-linear Time
Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
Computing Abductive Explanations for Boosted Trees
Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis et al.
Conformalized Unconditional Quantile Regression
Ahmed M. Alaa, Zeshan Hussain, David Sontag
Conformal Off-Policy Prediction
Yingying Zhang, Chengchun Shi, Shikai Luo