Publications

2026

Workshop

A Splitting Method for SDE Terminal-Law Estimation

Gupta, R. and Juneja, S.K.

NeurIPS 2026 Workshop: Second Workshop on ML×OR.

[LINK]

Workshop

Directionally Correct Views in Portfolio Optimization

Kumar, O., Dey, S., Iyer, S.R. and Juneja, S.K.

NeurIPS 2026 Workshop: Second Workshop on ML×OR.

[LINK]

Workshop

Steering Diffusion Priors with Sparse Observations for High-Resolution Temperature Downscaling

Avireddy, A., Singh, M., Singh, S., Raj, A., Dhanuka, S., Mukhopadhyay, P. and Juneja, S.K.

NeurIPS 2026 Workshop: Tackling Climate Change with Machine Learning.

[LINK]

Workshop

IndiaS2S-Bench: A Comprehensive Benchmark of Subseasonal to Seasonal Forecasting over India

Raj, A., Dhanuka, S., Singh, M., Mukhopadhyay, P., Goswami, B. and Juneja, S.K.

NeurIPS 2026 Workshop: Tackling Climate Change with Machine Learning.

[LINK]

Workshop

Learning Ensemble Mixtures from Observations and Adapting Online with Theoretical Bounds

Dhanuka, S., Iyer, S.R., Singh, M., Mohapatra, M., Mukhopadhyay, P. and Juneja, S.K.

NeurIPS 2026 Workshop: Tackling Climate Change with Machine Learning.

[LINK]

Workshop

Calibrating AI Subseasonal to Seasonal (S2S) Forecasts with Lightweight Regional Adapters

Raj, A., Singh, M., Dhanuka, S., Goswami, B., Mukhopadhyay, P., Juneja, S.K. and Mohapatra, M.

NeurIPS 2026 Workshop: Tackling Climate Change with Machine Learning.

[LINK]

Submitted

AirCast-SR: A Foundation Model for Kilometer-Scale Atmospheric Super-Resolution via Latent Consistency Diffusion

Luitel, S., Singh, M., Durkee, J., Fahad, A.A., Sudharsan, N., Singh, P., He, C., Kamath, H., Yang, Z.L., Halder, K. and Juneja, S.

arXiv preprint arXiv:2605.26130.

[LINK]

Submitted

AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret

Dhanuka, S., Iyer, S., Singh, M., More, M., Gupta, R., Gupta, D., Mukhopadhyay, P. and Juneja, S.

arXiv preprint arXiv:2606.02663.

[LINK]

Published

Fundamental limits for weighted empirical approximations of exponentially tilted distributions

Iyer, S.R., Gupta, D., Gupta, R., Mandal, H., Bandyopadhyay, A., Bassamboo, A., Gupta, V., Juneja, S.

AISTATS 2026

[LINK]

Published

Improved bounds on optimal exponents in active simple hypothesis testing

Mandal, H., Vijayan, S.

Published, IEEE ISIT 2026.

[LINK]

Published

Game of arrivals at a two queue network with heterogeneous customer routes

Bandyopadhyay, A. & Juneja, S.

Published, 2026

[LINK]

Submitted

Generating DDPM-based Samples from Exponentially Tilted Distributions

Mandal, H., Gupta, D., Gupta, R., Iyer, S.R., Bandyopadhyay, A., Bassamboo, A., Gupta, V., Juneja, S.

Submitted, 2026

[LINK]

2025

Submitted

Asymptotic optimality theory of confidence intervals of the mean

Deep, V., Bassamboo, A. and Juneja, S.

arXiv preprint arXiv:2501.19126.

[LINK]

Workshop

Deep learning for short-range monsoon rainfall forecast using ground truth rainfall data

Jain, A., Batra, J., Narula, A., Nair, R. M., & Juneja, S.

NeurIPS 2025 Workshop Tackling Climate Change with Machine Learning.

[LINK]

Published

Finetuning a Neural Weather Model to India Rainfall

Dhanuka, S., Singh, M. and Juneja, S.

Accepted to ACM IKDD CODS 2025, the 13th International Conference on Data Science AI for Sciences Track

Forthcoming

Risk Factors For the Indian Equity Market: Statistics, Visualization, and an Interactive Tool

Foujdar, A., Juneja, S., Kumar, A., Prabhala, N.

Preprint, 2025

[LINK]

Published

Optimal Algorithms for Bandit Learning in Matching Markets. Dynamics at the Frontiers of Optimization, Sampling, and Games

Pagare, T., Bandyopadhyay, A. and Juneja, S.

NeurIPS 2025 Workshop

[LINK]

Workshop

Optimal Algorithms for Bandit Learning in Matching Markets

Pagare, T., Bandyopadhyay, A. & Juneja, S.

Dynamics at the Frontiers of Optimization, Sampling, and Games – NeurIPS 2025 Workshop.

[LINK]

Submitted

Portfolio optimization using anomalies: A deep learning approach

Foujdar, A., Juneja, S., Kumar, A., Prabhala, N., & Wagle, S.

Submitted, 2025

[LINK]

Published

Data-driven estimation of tail probabilities under varying distributional assumptions

Ahn, D., Juneja, S., Pagare, T. & Shreyas, S.

Winter Simulation Conference (WSC), IEEE, 2025

[LINK]

Forthcoming

Game of arrivals to a two queue network with heterogeneous customer routes

Bandyopadhyay, A. and Juneja, S.

To appear in PERFORMANCE 2025

[LINK]

2024

Forthcoming

Comparing Skill of Historical Rainfall Data-Based Monsoon Rainfall Prediction in India with NCEP-NWP Forecasts

Narula, A., Jain, A., Batra, J., & Juneja, S.

Published, 2024

[LINK]

Published

Optimal Top-Two Method for Best Arm Identification and Fluid Analysis

Bandyopadhyay, A., Juneja, S., & Agrawal, S.

Advances in Neural Information Processing Systems (NeurIPS), vol. 37, 2024

[LINK]

Published

Selecting the Safest Design in Rare Event Settings

Bhattacharjee, Anirban, and Sandeep Juneja

2024 Winter Simulation Conference (WSC), IEEE, 2024

[LINK]

Published

A Deep Learning Approach for Rare Event Simulation in Diffusion Processes

Hult, H., Jain, A., Juneja, S., Nyquist, P. and Vijayan, S.

2024 Winter Simulation Conference (WSC), IEEE, 2024

[LINK]

Published

Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing

Deep, Vikas, Achal Bassamboo, and Sandeep Kumar Juneja

Forty-first International Conference on Machine Learning (ICML)

[LINK]