Lalit Jain

Orcid: 0000-0002-1087-724X

According to our database1, Lalit Jain authored at least 36 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice.
CoRR, 2024

2023
DIRECT: Deep Active Learning under Imbalance and Label Noise.
CoRR, 2023

Fair Active Learning in Low-Data Regimes.
CoRR, 2023

Pessimistic Off-Policy Multi-Objective Optimization.
CoRR, 2023

Minimax Optimal Submodular Optimization with Bandit Feedback.
CoRR, 2023

Optimal Exploration is no harder than Thompson Sampling.
CoRR, 2023

A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity.
CoRR, 2023

Experimental Designs for Heteroskedastic Variance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design.
PLoS Comput. Biol., 2022

Adaptive Experimental Design and Counterfactual Inference.
CoRR, 2022

Active Learning with Safety Constraints.
CoRR, 2022

Instance-optimal PAC Algorithms for Contextual Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Learning with Safety Constraints.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Nearly Optimal Algorithms for Level Set Estimation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

An Experimental Design Approach for Regret Minimization in Logistic Bandits.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Selective Sampling for Online Best-arm Identification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improved Algorithms for Agnostic Pool-based Active Classification.
Proceedings of the 38th International Conference on Machine Learning, 2021

Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits.
CoRR, 2020

Finding All ε-Good Arms in Stochastic Bandits.
CoRR, 2020

Spectral Methods for Ranking with Scarce Data.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Finding All $\epsilon$-Good Arms in Stochastic Bandits.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
A New Perspective on Pool-Based Active Classification and False-Discovery Control.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Sequential Experimental Design for Transductive Linear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
A Bandit Approach to Multiple Testing with False Discovery Control.
CoRR, 2018

A Bandit Approach to Sequential Experimental Design with False Discovery Control.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Firing Bandits: Optimizing Crowdfunding.
Proceedings of the 35th International Conference on Machine Learning, 2018

The Landscape of Non-Convex Quadratic Feasibility.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep Learning for Military Image Captioning.
Proceedings of the 21st International Conference on Information Fusion, 2018

Adaptive Sampling for Coarse Ranking.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
NEXT: A system to easily connect crowdsourcing and adaptive data collection.
Proceedings of the 16th Python in Science Conference 2017, 2017

Learning Low-Dimensional Metrics.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

If it ain't broke, don't fix it: Sparse metric repair.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015


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