Papers
4,122 papers found
Calibrated Multiple-Output Quantile Regression with Representation Learning
Shai Feldman, Stephen Bates, Yaniv Romano
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopically Rational Followers?
Han Zhong, Zhuoran Yang, Zhaoran Wang et al.
Causal Bandits for Linear Structural Equation Models
Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri et al.
Causal Discovery with Unobserved Confounding and Non-Gaussian Data
Y. Samuel Wang, Mathias Drton
Clustering and Structural Robustness in Causal Diagrams
Santtu Tikka, Jouni Helske, Juha Karvanen
Clustering with Tangles: Algorithmic Framework and Theoretical Guarantees
Solveig Klepper, Christian Elbracht, Diego Fioravanti et al.
Cluster-Specific Predictions with Multi-Task Gaussian Processes
Arthur Leroy, Pierre Latouche, Benjamin Guedj et al.
CodaLab Competitions: An Open Source Platform to Organize Scientific Challenges
Adrien Pavao, Isabelle Guyon, Anne-Catherine Letournel et al.
Combinatorial Optimization and Reasoning with Graph Neural Networks
Quentin Cappart, Didier Chételat, Elias B. Khalil et al.
Community models for networks observed through edge nominations
Tianxi Li, Elizaveta Levina, Ji Zhu
Community Recovery in the Geometric Block Model
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal et al.
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory
Sevvandi Kandanaarachchi, Kate Smith-Miles
Compression, Generalization and Learning
Marco C. Campi, Simone Garatti
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities
Brian R. Bartoldson, Bhavya Kailkhura, Davis Blalock
Concentration analysis of multivariate elliptic diffusions
Lukas Trottner, Cathrine Aeckerle-Willems, Claudia Strauch
Confidence and Uncertainty Assessment for Distributional Random Forests
Jeffrey Näf, Corinne Emmenegger, Peter Bühlmann et al.
Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing
Yibo Yan, Xiaozhou Wang, Riquan Zhang
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
Matteo Sesia, Stefano Favaro, Edgar Dobriban
Connectivity Matters: Neural Network Pruning Through the Lens of Effective Sparsity
Artem Vysogorets, Julia Kempe
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process
Cheng Zeng, Jeffrey W Miller, Leo L Duan
Consistent Second-Order Conic Integer Programming for Learning Bayesian Networks
Simge Kucukyavuz, Ali Shojaie, Hasan Manzour et al.
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
Chen Lu, Subhabrata Sen
Continuous-in-time Limit for Bayesian Bandits
Yuhua Zhu, Zachary Izzo, Lexing Ying
Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency
Tetiana Gorbach, Xavier de Luna, Juha Karvanen et al.