Minimizing total area of low-voltage SRAM arrays through joint optimization of cell size, redundancy, and ECC. - Shi-Ting Zhou; Sumeet Katariya; Hamid Reza Ghasemi; Stark C. Draper; Nam Sung Kim (ICCD, 2010)

Analyzing the Impact of Joint Optimization of Cell Size, Redundancy, and ECC on Low-Voltage SRAM Array Total Area. - Nam Sung Kim; Stark C. Draper; Shi-Ting Zhou; Sumeet Katariya; Hamid Reza Ghasemi; Taejoon Park (IEEE Trans. Very Large Scale Integr. Syst., 2012)

Sparse Dueling Bandits. - Kevin G. Jamieson; Sumeet Katariya; Atul Deshpande; Robert D. Nowak (AISTATS, 2015)

DCM Bandits: Learning to Rank with Multiple Clicks. - Sumeet Katariya; Branislav Kveton; Csaba Szepesvári; Zheng Wen 002 (ICML, 2016)

Stochastic Rank-1 Bandits. - Sumeet Katariya; Branislav Kveton; Csaba Szepesvári; Claire Vernade; Zheng Wen 002 (AISTATS, 2017)

Sequential Multiple Hypothesis Testing with Type I Error Control. - Alan Malek; Sumeet Katariya; Yinlam Chow; Mohammad Ghavamzadeh (AISTATS, 2017)

Bernoulli Rank-1 Bandits for Click Feedback. - Sumeet Katariya; Branislav Kveton; Csaba Szepesvári; Claire Vernade; Zheng Wen 002 (IJCAI, 2017)

Adaptive Sampling for Coarse Ranking. - Sumeet Katariya; Lalit Jain; Nandana Sengupta; James Evans; Robert Nowak 001 (AISTATS, 2018)

Conservative Exploration using Interleaving. - Sumeet Katariya; Branislav Kveton; Zheng Wen; Vamsi K. Potluru (AISTATS, 2019)

MaxGap Bandit: Adaptive Algorithms for Approximate Ranking. - Sumeet Katariya; Ardhendu Tripathy; Robert D. Nowak (NeurIPS, 2019)

Robust Outlier Arm Identification. - Yinglun Zhu; Sumeet Katariya; Robert D. Nowak (ICML, 2020)

Language-Agnostic Representation Learning for Product Search on E-Commerce Platforms. - Aman Ahuja; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WSDM, 2020)

Workshop on Data-Efficient Machine Learning (DeMaL). - Sumeet Katariya; Nikhil Rao 001; Chandan K. Reddy (KDD, 2021)

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (NeurIPS, 2021)

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WWW, 2021)

Pure Exploration with Structured Preference Feedback. - Shubham Gupta; Aadirupa Saha; Sumeet Katariya (CoRR, 2021)

Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods. - Wenqing Zheng; Edward W. Huang; Nikhil Rao 001; Sumeet Katariya; Zhangyang Wang; Karthik Subbian (ICLR, 2022)

Deep Hierarchy in Bandits. - Joey Hong; Branislav Kveton; Sumeet Katariya; Manzil Zaheer; Mohammad Ghavamzadeh (ICML, 2022)

Task-Agnostic Graph Explanations. - Yaochen Xie; Sumeet Katariya; Xianfeng Tang; Edward W. Huang; Nikhil Rao 001; Karthik Subbian; Shuiwang Ji (NeurIPS, 2022)

ANTHEM: Attentive Hyperbolic Entity Model for Product Search. - Nurendra Choudhary; Nikhil Rao 001; Sumeet Katariya; Karthik Subbian; Chandan K. Reddy (WSDM, 2022)

ALLIE: Active Learning on Large-scale Imbalanced Graphs. - Limeng Cui; Xianfeng Tang; Sumeet Katariya; Nikhil Rao 001; Pallav Agrawal; Karthik Subbian; Dongwon Lee 001 (WWW, 2022)

Generalizing Hierarchical Bayesian Bandits. - Imad Aouali; Branislav Kveton; Sumeet Katariya (CoRR, 2022)

Bayesian Fixed-Budget Best-Arm Identification. - Alexia Atsidakou; Sumeet Katariya; Sujay Sanghavi; Branislav Kveton (CoRR, 2022)

Meta-Learning for Simple Regret Minimization. - Mohammad Javad Azizi; Branislav Kveton; Mohammad Ghavamzadeh; Sumeet Katariya (AAAI, 2023)

Mixed-Effect Thompson Sampling. - Imad Aouali; Branislav Kveton; Sumeet Katariya (AISTATS, 2023)

Multi-Task Off-Policy Learning from Bandit Feedback. - Joey Hong; Branislav Kveton; Manzil Zaheer; Sumeet Katariya; Mohammad Ghavamzadeh (ICML, 2023)

Logarithmic Bayes Regret Bounds. - Alexia Atsidakou; Branislav Kveton; Sumeet Katariya; Constantine Caramanis; Sujay Sanghavi (NeurIPS, 2023)

Towards Sequential Counterfactual Learning to Rank. - Tesi Xiao; Branislav Kveton; Sumeet Katariya; Tanmay Gangwani; Anshuka Rangi (SIGIR-AP, 2023)

Selective Uncertainty Propagation in Offline RL. - Sanath Kumar Krishnamurthy; Tanmay Gangwani; Sumeet Katariya; Branislav Kveton; Anshuka Rangi (CoRR, 2023)

Selective Uncertainty Propagation in Offline RL. - Sanath Kumar Krishnamurthy; Tanmay Gangwani; Sumeet Katariya; Branislav Kveton; Shrey Modi; Anshuka Rangi (AAAI, 2025)