Ravi Ganti | DeepAI

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∙ 03/13/2023

Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset

Users in consumption domains, like music, are often able to more efficie...

0 Arun Tejasvi Chaganty, et al. ∙

∙ 01/27/2023

Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models

Conversational recommendation systems (CRSs) enable users to use natural...

0 Megan Leszczynski, et al. ∙

∙ 01/09/2023

MAQA: A Multimodal QA Benchmark for Negation

Multimodal learning can benefit from the representation power of pretrai...

0 Judith Yue Li, et al. ∙

∙ 08/26/2022

MuLan: A Joint Embedding of Music Audio and Natural Language

Music tagging and content-based retrieval systems have traditionally bee...

5 Qingqing Huang, et al. ∙

∙ 03/06/2020

A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option

We consider a sequential decision-making problem where an agent can take...

0 P Sharoff, et al. ∙

∙ 02/08/2018

Thompson Sampling for Dynamic Pricing

In this paper we apply active learning algorithms for dynamic pricing in...

0 Ravi Ganti, et al. ∙

∙ 03/14/2016

Active Algorithms For Preference Learning Problems with Multiple Populations

In this paper we model the problem of learning preferences of a populati...

0 Aniruddha Bhargava, et al. ∙

∙ 03/13/2016

On Learning High Dimensional Structured Single Index Models

Single Index Models (SIMs) are simple yet flexible semi-parametric model...

0 Nikhil Rao, et al. ∙

∙ 12/29/2015

Matrix Completion Under Monotonic Single Index Models

Most recent results in matrix completion assume that the matrix under co...

0 Ravi Ganti, et al. ∙

∙ 06/30/2015

Learning Single Index Models in High Dimensions

Single Index Models (SIMs) are simple yet flexible semi-parametric model...

0 Ravi Ganti, et al. ∙

∙ 03/28/2015

Active Model Aggregation via Stochastic Mirror Descent

We consider the problem of learning convex aggregation of models, that i...

0 Ravi Ganti, et al. ∙

∙ 03/28/2015

Sparse Linear Regression With Missing Data

This paper proposes a fast and accurate method for sparse regression in ...

0 Ravi Ganti, et al. ∙

∙ 09/26/2013

Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens

In this paper we propose a multi-armed bandit inspired, pool based activ...

0 Ravi Ganti, et al. ∙

∙ 09/14/2013

Local Support Vector Machines:Formulation and Analysis

We provide a formulation for Local Support Vector Machines (LSVMs) that ...

0 Ravi Ganti, et al. ∙

∙ 11/08/2011

UPAL: Unbiased Pool Based Active Learning

In this paper we address the problem of pool based active learning, and ...

0 Ravi Ganti, et al. ∙