… in the worst case number of required queries. We will also consider learning with equivalence
and membership queries (EQ+MQ). In a membership query, a learner submits a single …

… We prove two lower bounds in the statistical query (SQ) learning model. The first lower
bound is on weak-learning. We prove that for a concept class of SQ-dimension d, a running time …

… Upper bounds: In Theorem 9 we describe our learning result using an NP oracle. For any
concept class C which has polynomial query complexity and C ∈ P, we give an algorithm that, …

… PAC learning as described above. For each of these problems we give new bounds on the
number of quantum queries or examples that are required for learning. For the quantum exact …

… bounds on the Statistical Query (SQ) learning model. The first lower bound is on weak-learning…
” of an algorithm in learning the target function and the number of queries it needs to make…

… bounds on the complexity of learning in the statistical query (… boosting the accuracy of weak
learning algorithms which fall within … framework for efficient PAC learning in the presence of …

… The lower bounds in this paper address a model of learning in which there is arbitrary noise
in the labels, as is common in some settings. They add to the body of work demonstrating …

… upper and lower bounds on query complexity for Private Sequential Learning. They also
propose the Replicated Bisection algorithm as a learner strategy for the Bayesian variant, but …

… in the worst case number of required queries. We will also consider learning with equivalence
and membership queries (EQ+MQ). In a membership query, a learner submits a single …

… , and prove asymptotically tight bounds of Θ(m) queries for both learning and verifying an
m-… of graph learning and graph verification using β-queries, and prove tight bounds for these …