25 citations · 47 across the 5 of their papers we have counts for
9 papers
Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition
Shankar Kumar, Michael Nirschl, Daniel Holtmann-Rice +3
Recurrent neural network (RNN) language models (LMs) and Long Short Term Memory (LSTM) LMs, a variant of RNN LMs, have been shown to outperform traditional N-gram LMs on speech rec…
Model-Powered Conditional Independence Test
Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam +2
We consider the problem of non-parametric Conditional Independence testing (CI testing) for continuous random variables. Given i.i.d samples from the joint distribution …
Maximum Selection and Ranking under Noisy Comparisons
Moein Falahatgar, Alon Orlitsky, Venkatadheeraj Pichapati +1
We consider -PAC maximum-selection and ranking for general probabilistic models whose comparisons probabilities satisfy strong stochastic transitivity and stochastic triangl…
Minimax Risk for Missing Mass Estimation
Nikhilesh Rajaraman, Andrew Thangaraj, Ananda Theertha Suresh
The problem of estimating the missing mass or total probability of unseen elements in a sequence of random samples is considered under the squared error loss function. The wors…
Maximum Selection and Sorting with Adversarial Comparators and an Application to Density Estimation
Jayadev Acharya, Moein Falahatgar, Ashkan Jafarpour +2
We study maximum selection and sorting of numbers using pairwise comparators that output the larger of their two inputs if the inputs are more than a given threshold apart, and…
Universal Compression of Power-Law Distributions
Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky +2
English words and the outputs of many other natural processes are well-known to follow a Zipf distribution. Yet this thoroughly-established property has never been shown to help co…