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- Jonathan Berant, Andrew Chou, Roy Frostig, Percy Liang
- EMNLP
- 2013

In this paper, we train a semantic parser that scales up to Freebase. Instead of relying on annotated logical forms, which is especially expensive to obtain at large scale, we learn fromâ€¦ (More)

- Roy Frostig, Rong Ge, Sham M. Kakade, Aaron Sidford
- ICML
- 2015

We develop a family of accelerated stochastic algorithms that minimize sums of convex functions. Our algorithms improve upon the fastest running time for empirical risk minimization (ERM), and inâ€¦ (More)

- Amit Daniely, Roy Frostig, Yoram Singer
- NIPS
- 2016

We develop a general duality between neural networks and compositional kernel Hilbert spaces. We introduce the notion of a computation skeleton, an acyclic graph that succinctly describes both aâ€¦ (More)

- Roy Frostig, Rong Ge, Sham M. Kakade, Aaron Sidford
- COLT
- 2015

In many estimation problems, e.g. linear and logistic regression, we wish to minimize an unknown objective given only unbiased samples of the objective function. Furthermore, we aim to achieve thisâ€¦ (More)

- Roy Frostig, Cameron Musco, Christopher Musco, Aaron Sidford
- ICML
- 2016

We show how to efficiently project a vector onto the top principal components of a matrix, without explicitly computing these components. Specifically, we introduce an iterative algorithm thatâ€¦ (More)

- Roy Frostig, Sida I. Wang, Percy Liang, Christopher D. Manning
- NIPS
- 2014

We focus on the problem of maximum a posteriori (MAP) inference in Markov random fields with binary variables and pairwise interactions. For this common subclass of inference tasks, we considerâ€¦ (More)

- Jesse M. Rodriguez, Sivan Bercovici, Lin Ke Huang, Roy Frostig, Serafim Batzoglou
- Genome research
- 2015

Identity-by-descent (IBD) inference is the problem of establishing a genetic connection between two individuals through a genomic segment that is inherited by both individuals from a recent commonâ€¦ (More)

- Amit Daniely, Roy Frostig, Vineet Gupta, Yoram Singer
- ArXiv
- 2017

We describe and analyze a simple random feature scheme (RFS) from prescribed compositional kernels. The compositional kernels we use are inspired by the structure of convolutional neural networks andâ€¦ (More)

- Sida I. Wang, Roy Frostig, Percy Liang, Christopher D. Manning
- ArXiv
- 2013

We propose a randomized relax-and-round inference algorithm that samples near-MAP configurations of a binary pairwise Markov random field. We experiment on MAP inference tasks in several restrictedâ€¦ (More)

We describe JAX, a domain-specific tracing JIT compiler for generating high-performance accelerator code from pure Python and Numpy machine learning programs. JAX uses the XLA compiler infrastructureâ€¦ (More)