35 citations · 36 across the 4 of their papers we have counts for
5 papers
Upper Bounds for All and Max-gain Policy Iteration Algorithms on Deterministic MDPs
Ritesh Goenka, Eashan Gupta, Sushil Khyalia +3
Policy Iteration (PI) is a widely used family of algorithms to compute optimal policies for Markov Decision Problems (MDPs). We derive upper bounds on the running time of PI on Det…
SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning
Eunkyu Oh, Taehun Kim, Minsoo Kim +2
Session-based recommendations aim to predict the next behavior of users based on ongoing sessions. The previous works have been modeling the session as a variable-length of a seque…
STING: Self-attention based Time-series Imputation Networks using GAN
Eunkyu Oh, Taehun Kim, Yunhu Ji +1
Time series data are ubiquitous in real-world applications. However, one of the most common problems is that the time series data could have missing values by the inherent nature o…
PAC Mode Estimation using PPR Martingale Confidence Sequences
Shubham Anand Jain, Rohan Shah, Sanit Gupta +7
We consider the problem of correctly identifying the \textit{mode} of a discrete distribution with sufficiently high probability by observing a sequence of i.i.d. sam…
Meta-Learning for Effective Multi-task and Multilingual Modelling
Ishan Tarunesh, Sushil Khyalia, Vishwajeet Kumar +2
Natural language processing (NLP) tasks (e.g. question-answering in English) benefit from knowledge of other tasks (e.g. named entity recognition in English) and knowledge of other…