Ashok Chandrashekar

17 papers A* 1A 4Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2024 A conf
Towards Understanding The Gaps of Offline And Online Evaluation Metrics: Impact of Series vs. Movie Recommendations.
RecSys
Bora Edizel, Tim Sweetser, Ashok Chandrashekar, Kamilia Ahmadi, Puja Das
2023 — conf
CLIME: Completeness-Constrained LIME.
WWW (Companion Volume)
Claudia V. Roberts, Ehtsham Elahi, Ashok Chandrashekar
2022 J jnl
On Negative Sampling for Audio-Visual Contrastive Learning from Movies.
CoRR
Mahdi M. Kalayeh, Shervin Ardeshir, Lingyi Liu, Nagendra Kamath, Ashok Chandrashekar
2022 J jnl
On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity Movie Recommendation Explanation Tasks.
CoRR
Claudia V. Roberts, Ehtsham Elahi, Ashok Chandrashekar
2022 J jnl
Selectively Contextual Bandits.
CoRR
Claudia V. Roberts, Maria Dimakopoulou, Qifeng Qiao, Ashok Chandrashekar, Tony Jebara
2021 A conf
Bias-Variance Decomposition for Ranking.
WSDM
Pannaga Shivaswamy, Ashok Chandrashekar
2021 A* conf
Control Variates for Slate Off-Policy Evaluation.
NeurIPS
Nikos Vlassis, Ashok Chandrashekar, Fernando Amat Gil, Nathan Kallus
2021 J jnl
Control Variates for Slate Off-Policy Evaluation.
CoRR
Nikos Vlassis, Ashok Chandrashekar, Fernando Amat Gil, Nathan Kallus
2021 J jnl
Off-Policy Evaluation of Slate Policies under Bayes Risk.
CoRR
Nikos Vlassis, Fernando Amat Gil, Ashok Chandrashekar
2021 J jnl
Watching Too Much Television is Good: Self-Supervised Audio-Visual Representation Learning from Movies and TV Shows.
CoRR
Mahdi M. Kalayeh, Nagendra Kamath, Lingyi Liu, Ashok Chandrashekar
2020 A conf
Learning Representations of Hierarchical Slates in Collaborative Filtering.
RecSys
Ehtsham Elahi, Ashok Chandrashekar
2020 J jnl
Learning Representations of Hierarchical Slates in Collaborative Filtering.
CoRR
Ehtsham Elahi, Ashok Chandrashekar
2018 A conf
Artwork personalization at netflix.
RecSys
Fernando Amat Gil, Ashok Chandrashekar, Tony Jebara, Justin Basilico
2014 J jnl
Learning what is where from unlabeled images: joint localization and clustering of foreground objects.
Mach. Learn.
Ashok Chandrashekar, Lorenzo Torresani, Richard Granger
2011 J jnl
Derivation of a Novel Efficient Supervised Learning Algorithm from Cortical-Subcortical Loops.
Frontiers Comput. Neurosci.
Ashok Chandrashekar, Richard Granger
2007 — conf
Novel Brain-Derived Algorithms Scale Linearly with Number of Processing Elements.
PARCO
Jeff Furlong, Andrew Felch, Jayram Moorkanikara Nageswaran, Nikil D. Dutt, Alex Nicolau, Alexander V. Veidenbaum, Ashok Chandrashekar, Richard Granger
1998 J jnl
A modelling study of the effects of continuous incremental improvement in the case of a process shop.
Eur. J. Oper. Res.
Ashok Chandrashekar, Thomas E. Callarman