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Papers
Equivalence of Coarse and Fine-Grained Models for Learning with Distribution Shift
COLT 2026
On the Hardness of Learning Regular Expressions
ALT 2026
Active Learning of General Halfspaces: Label Queries vs Membership Queries
NeurIPS 2024
Agnostic Membership Query Learning with Nontrivial Savings: New Results and Techniques
ALT 2024
Efficient Quantum Agnostic Improper Learning of Decision Trees
AISTATS 2024
On the Power and Limitations of Examples for Description Logic Concepts
IJCAI 2024
An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network
ICLR 2023
Learning Hidden Markov Models Using Conditional Samples
COLT 2023
Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies
IJCAI 2022
Learning with Distributional Inverters
ALT 2022
Open Problem: Properly learning decision trees in polynomial time?
COLT 2022
Tight query complexity bounds for learning graph partitions
COLT 2022
Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies
IJCAI 2021
Partitioned Learned Bloom Filters
ICLR 2021
Weak learning convex sets under normal distributions
COLT 2021
Bounds in query learning
COLT 2020
Distribution Free Learning with Local Queries
ALT 2020
Adaptive Exact Learning of Decision Trees from Membership Queries
ALT 2019
On the Limits of Learning to Actively Learn Semantic Representations
CoNLL 2019
Exact Learning of Lightweight Description Logic Ontologies
JMLR 2018
An efficient query learning algorithm for zero-suppressed binary decision diagrams
ALT 2017
Learning Disjunctions of Predicates
COLT 2017
A Guide to Learning Arithmetic Circuits
COLT 2016
Learning Using Local Membership Queries
COLT 2013
On The Power of Membership Queries in Agnostic Learning
JMLR 2009