Lowd, Daniel

25 publications

ICMLW 2024 MaPPing Your Model: Assessing the Impact of Adversarial Attacks on LLM-Based Programming Assistants John Heibel, Daniel Lowd

AAAI 2024 Provable Robustness Against a Union of L_0 Adversarial Attacks Zayd Hammoudeh, Daniel Lowd

NeurIPSW 2024 The Ultimate Cookbook for Invisible Poison: Crafting Subtle Clean-Label Text Backdoors with Style Attributes Wencong You, Daniel Lowd

MLJ 2024 Training Data Influence Analysis and Estimation: A Survey Zayd Hammoudeh, Daniel Lowd

JMLR 2023 Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees Jonathan Brophy, Zayd Hammoudeh, Daniel Lowd

ICMLW 2023 Feature Partition Aggregation: A Fast Certified Defense Against a Union of $\ell_0$ Attacks Zayd Hammoudeh, Daniel Lowd

NeurIPS 2022 Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees Jonathan Brophy, Daniel Lowd

ICML 2021 Machine Unlearning for Random Forests Jonathan Brophy, Daniel Lowd

NeurIPS 2020 Learning from Positive and Unlabeled Data with Arbitrary Positive Shift Zayd Hammoudeh, Daniel Lowd

AAAI 2016 A Probabilistic Approach to Knowledge Translation Shangpu Jiang, Daniel Lowd, Dejing Dou

AAAI 2016 Discriminative Structure Learning of Arithmetic Circuits Amirmohammad Rooshenas, Daniel Lowd

AISTATS 2016 Discriminative Structure Learning of Arithmetic Circuits Amirmohammad Rooshenas, Daniel Lowd

MLOSS 2015 The Libra Toolkit for Probabilistic Models Daniel Lowd, Amirmohammad Rooshenas

JMLR 2014 Improving Markov Network Structure Learning Using Decision Trees Daniel Lowd, Jesse Davis

ICML 2014 Learning Sum-Product Networks with Direct and Indirect Variable Interactions Amirmohammad Rooshenas, Daniel Lowd

ICML 2014 On Robustness and Regularization of Structural Support Vector Machines Mohamad Ali Torkamani, Daniel Lowd

ICML 2013 Convex Adversarial Collective Classification MohamadAli Torkamani, Daniel Lowd

AISTATS 2013 Learning Markov Networks with Arithmetic Circuits Daniel Lowd, Amirmohammad Rooshenas

UAI 2012 Closed-Form Learning of Markov Networks from Dependency Networks Daniel Lowd

AAAI 2011 Mean Field Inference in Dependency Networks: An Empirical Study Daniel Lowd, Arash Shamaei

NeurIPS 2010 Approximate Inference by Compilation to Arithmetic Circuits Daniel Lowd, Pedro Domingos

ECML-PKDD 2010 Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasad Tadepalli, Kristian Kersting, Jude W. Shavlik

UAI 2008 Learning Arithmetic Circuits Daniel Lowd, Pedro M. Domingos

IJCAI 2007 Recursive Random Fields Daniel Lowd, Pedro M. Domingos

ICML 2005 Naive Bayes Models for Probability Estimation Daniel Lowd, Pedro M. Domingos