11 citations · 12 across the 4 of their papers we have counts for
6 papers
Consistent Multiclass Algorithms for Complex Metrics and Constraints
Harikrishna Narasimhan, Harish G. Ramaswamy, Shiv Kumar Tavker +3
We present consistent algorithms for multiclass learning with complex performance metrics and constraints, where the objective and constraints are defined by arbitrary functions of…
Using noise resilience for ranking generalization of deep neural networks
Depen Morwani, Rahul Vashisht, Harish G. Ramaswamy
Recent papers have shown that sufficiently overparameterized neural networks can perfectly fit even random labels. Thus, it is crucial to understand the underlying reason behind th…
Convex Calibrated Surrogates for the Multi-Label F-Measure
Mingyuan Zhang, Harish G. Ramaswamy, Shivani Agarwal
The F-measure is a widely used performance measure for multi-label classification, where multiple labels can be active in an instance simultaneously (e.g. in image tagging, multipl…
On Controllable Sparse Alternatives to Softmax
Anirban Laha, Saneem A. Chemmengath, Priyanka Agrawal +3
Converting an n-dimensional vector to a probability distribution over n objects is a commonly used component in many machine learning tasks like multiclass classification, multilab…
Mixture Proportion Estimation via Kernel Embedding of Distributions
Harish G. Ramaswamy, Clayton Scott, Ambuj Tewari
Mixture proportion estimation (MPE) is the problem of estimating the weight of a component distribution in a mixture, given samples from the mixture and component. This problem con…
Consistent Algorithms for Multiclass Classification with a Reject Option
Harish G. Ramaswamy, Ambuj Tewari, Shivani Agarwal
We consider the problem of -class classification (), where the classifier can choose to abstain from making predictions at a given cost, say, a factor of the cost o…