Chandrashekar Lakshminarayanan

28 papers A* 2A 3B 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Grokking in Linear Models for Logistic Regression.
CoRR
Nataraj Das, Atreya Vedantam, Chandrashekar Lakshminarayanan
2026 J jnl
Learning to Price: Interpretable Attribute-Level Models for Dynamic Markets.
CoRR
Srividhya Sethuraman, Chandrashekar Lakshminarayanan
2025 J jnl
Approximate linear programming for decentralized policy iteration in cooperative multi-agent Markov decision processes.
Syst. Control. Lett.
Lakshmi Mandal, Chandrashekar Lakshminarayanan, Shalabh Bhatnagar
2024 — conf
Deployability of Deep Reinforcement Learning in Portfolio Management.
COMAD/CODS (December)
Ishwar Govind, Jerry Thomas, Chandrashekar Lakshminarayanan
2024 J jnl
Half-Space Feature Learning in Neural Networks.
CoRR
Mahesh Lorik Yadav, Harish Guruprasad Ramaswamy, Chandrashekar Lakshminarayanan
2024 J jnl
Transformers with Sparse Attention for Granger Causality.
CoRR
Riya Mahesh, Rahul Vashisht, Chandrashekar Lakshminarayanan
2023 J jnl
Approximate Linear Programming and Decentralized Policy Improvement in Cooperative Multi-agent Markov Decision Processes.
CoRR
Lakshmi Mandal, Chandrashekar Lakshminarayanan, Shalabh Bhatnagar
2023 A conf
Unsupervised Concept Tagging of Mathematical Questions from Student Explanations.
AIED
K. M. Shabana, Chandrashekar Lakshminarayanan
2022 — conf
CurriculumTutor: An Adaptive Algorithm for Mastering a Curriculum.
AIED (1)
K. M. Shabana, Chandrashekar Lakshminarayanan, Jude K. Anil
2022 J jnl
Explicitising The Implicit Intrepretability of Deep Neural Networks Via Duality.
CoRR
Chandrashekar Lakshminarayanan, Amit Vikram Singh, Arun Rajkumar
2021 J jnl
Disentangling deep neural networks with rectified linear units using duality.
CoRR
Chandrashekar Lakshminarayanan, Amit Vikram Singh
2020 J jnl
Deep Gated Networks: A framework to understand training and generalisation in deep learning.
CoRR
Chandrashekar Lakshminarayanan, Amit Vikram Singh
2020 A* conf
Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning.
NeurIPS
Chandrashekar Lakshminarayanan, Amit Vikram Singh
2020 J jnl
Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning.
CoRR
Chandrashekar Lakshminarayanan, Amit Vikram Singh
2018 J jnl
A Linearly Relaxed Approximate Linear Program for Markov Decision Processes.
IEEE Trans. Autom. Control.
Chandrashekar Lakshminarayanan, Shalabh Bhatnagar, Csaba Szepesvári
2018 A conf
Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go?
AISTATS
Chandrashekar Lakshminarayanan, Csaba Szepesvári
2017 J jnl
A Linearly Relaxed Approximate Linear Program for Markov Decision Processes.
CoRR
Chandrashekar Lakshminarayanan, Shalabh Bhatnagar, Csaba Szepesvári
2017 J jnl
A stability criterion for two timescale stochastic approximation schemes.
Autom.
Chandrashekar Lakshminarayanan, Shalabh Bhatnagar
2017 J jnl
Linear Stochastic Approximation: Constant Step-Size and Iterate Averaging.
CoRR
Chandrashekar Lakshminarayanan, Csaba Szepesvári
2017 B conf
Scalable Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach.
CLOUD
Sandeep Kumar, Sindhu Padakandla, Chandrashekar Lakshminarayanan, Priyank Parihar, K. Gopinath, Shalabh Bhatnagar
2016 J jnl
Performance Tuning of Hadoop MapReduce: A Noisy Gradient Approach.
CoRR
Sandeep Kumar, Sindhu Padakandla, Chandrashekar Lakshminarayanan, Priyank Parihar, K. Gopinath, Shalabh Bhatnagar
2016 A conf
Shaping Proto-Value Functions Using Rewards.
ECAI
Raj Kumar Maity, Chandrashekar Lakshminarayanan, Sindhu Padakandla, Shalabh Bhatnagar
2015 A* conf
A Generalized Reduced Linear Program for Markov Decision Processes.
AAAI
Chandrashekar Lakshminarayanan, Shalabh Bhatnagar
2014 J jnl
A Generalized Reduced Linear Program for Markov Decision Processes.
CoRR
Chandrashekar Lakshminarayanan, Shalabh Bhatnagar
2014 B conf
A Markov Decision Process Framework for Predictable Job Completion Times on Crowdsourcing Platforms.
HCOMP
Chandrashekar Lakshminarayanan, Ayush Dubey, Shalabh Bhatnagar, Chithralekha Balamurugan
2014 J jnl
Approximate Dynamic Programming based on Projection onto the (min, +) subsemimodule.
CoRR
Chandrashekar Lakshminarayanan, Shalabh Bhatnagar
2014 — conf
Approximate Dynamic Programming with (min; +) linear function approximation for Markov decision processes.
CDC
Chandrashekar Lakshminarayanan, Shalabh Bhatnagar
2014 J jnl
Approximate dynamic programming with $(\min, +)$ linear function approximation for Markov decision processes.
CoRR
Chandrashekar Lakshminarayanan, Shalabh Bhatnagar