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» Learning minimal abstractions
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POPL
2011
ACM
10 years 2 months ago
Learning minimal abstractions
Percy Liang, Omer Tripp, Mayur Naik
CORR
2010
Springer
114views Education» more  CORR 2010»
11 years 12 hour ago
On the Stability of Empirical Risk Minimization in the Presence of Multiple Risk Minimizers
Abstract--Recently Kutin and Niyogi investigated several notions of algorithmic stability--a property of a learning map conceptually similar to continuity--showing that training-st...
Benjamin I. P. Rubinstein, Aleksandr Simma
COLT
2006
Springer
11 years 3 months ago
Unifying Divergence Minimization and Statistical Inference Via Convex Duality
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
Yasemin Altun, Alexander J. Smola
ML
2008
ACM
152views Machine Learning» more  ML 2008»
10 years 12 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...
CONCUR
2006
Springer
11 years 3 months ago
Minimization, Learning, and Conformance Testing of Boolean Programs
Boolean programs with recursion are convenient abstractions of sequential imperative programs, and can be represented as recursive state machines (RSMs) or pushdown automata. Motiv...
Viraj Kumar, P. Madhusudan, Mahesh Viswanathan
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