Papers
4,025 papers found
Computing D-Stationary Points of $ρ$-Margin Loss SVM
Lai Tian, Anthony Man-Cho So
Conditional Gradients for the Approximately Vanishing Ideal
Elias S. Wirth, Sebastian Pokutta
Conditional Linear Regression for Heterogeneous Covariances
Leda Liang, Brendan Juba
Conditionally Gaussian PAC-Bayes
Eugenio Clerico, George Deligiannidis, Arnaud Doucet
Conditionally Tractable Density Estimation using Neural Networks
Hailiang Dong, Chiradeep Roy, Tahrima Rahman et al.
Confident Least Square Value Iteration with Local Access to a Simulator
Botao Hao, Nevena Lazic, Dong Yin et al.
ContextGen: Targeted Data Generation for Low Resource Domain Specific Text Classification
Lukas Fromme, Jasmina Bogojeska, Jonas Kuhn
Contrasting the landscape of contrastive and non-contrastive learning
Ashwini Pokle, Jinjin Tian, Yuchen Li et al.
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks
Amy E. Babay, Michael Dinitz, Aravind Srinivasan et al.
Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence
Murat A. Erdogdu, Rasa Hosseinzadeh, Shunshi Zhang
Convergence of online k-means
Geelon So, Gaurav Mahajan, Sanjoy Dasgupta
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers
Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon et al.
Convex Analysis of the Mean Field Langevin Dynamics
Atsushi Nitanda, Denny Wu, Taiji Suzuki
Co-Regularized Adversarial Learning for Multi-Domain Text Classification
Yuan Wu, Diana Inkpen, Ahmed El-Roby
Coresets for Data Discretization and Sine Wave Fitting
Alaa Maalouf, Murad Tukan, Eric Price et al.
Corruption-robust Offline Reinforcement Learning
Xuezhou Zhang, Yiding Chen, Xiaojin Zhu et al.
Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi et al.
Cross-Loss Influence Functions to Explain Deep Network Representations
Andrew Silva, Rohit Chopra, Matthew Gombolay
Crowdsourcing Regression: A Spectral Approach
Yaniv Tenzer, Omer Dror, Boaz Nadler et al.
Cycle Consistent Probability Divergences Across Different Spaces
Zhengxin Zhang, Youssef Mroueh, Ziv Goldfeld et al.
Data Appraisal Without Data Sharing
Xinlei Xu, Awni Hannun, Laurens Van Der Maaten
Data-splitting improves statistical performance in overparameterized regimes
Nicole Muecke, Enrico Reiss, Jonas Rungenhagen et al.
DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
Matti Karppa, Martin Aumüller, Rasmus Pagh
Debiasing Samples from Online Learning Using Bootstrap
Ningyuan Chen, Xuefeng Gao, Yi Xiong
Decoupling Local and Global Representations of Time Series
Sana Tonekaboni, Chun-Liang Li, Sercan O. Arik et al.