We study local filters for the Lipschitz property of real-valued functio...
We give the first agnostic, efficient, proper learning algorithm for mon...
We show how any PAC learning algorithm that works under the uniform
dist...
In the certification problem, the algorithm is given a function f with
c...
We design an algorithm for finding counterfactuals with strong theoretic...
The authors recently gave an n^O(loglog n) time membership query
algorit...
Using the framework of boosting, we prove that all impurity-based decisi...
We give a 2^Õ(√(n)/ε)-time algorithm for properly
learning monotone Bool...
We study the problem of certification: given queries to a function f :
{...
We study a fundamental question concerning adversarial noise models in
s...
We consider the problem of explaining the predictions of an arbitrary
bl...
We give an n^O(loglog n)-time membership query algorithm for properly
an...
Greedy decision tree learning heuristics are mainstays of machine learni...
We give a quasipolynomial-time algorithm for learning stochastic decisio...
We study sublinear and local computation algorithms for decision trees,
...
We show that top-down decision tree learning heuristics are amenable to
...
We consider the problem of designing query strategies for priced informa...
We propose a simple extension of top-down decision tree learning heurist...
We give strengthened provable guarantees on the performance of widely
em...
Algebraic datatypes, and among them lists and trees, have attracted a lo...
We give efficient deterministic algorithms for converting randomized que...
Consider the following heuristic for building a decision tree for a func...