CDLS-Publications - Ashoka University

CDLS-Publications

  • user
  • User logout
Ashoka University

Other links:

Other links:

Publications

  • Dhanuka, S., Iyer, S., Singh, M., More, M., Gupta, R., Gupta, D., Mukhopadhyay, P. and Juneja, S., 2026. AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret. [link]
  • Bandyopadhyay, A. and Juneja, S., 2026. Game of arrivals to a two queue network withheterogeneous customer routes. ACM SIGMETRICS Performance Evaluation Review, 53(4), pp.97-102. [link]
  • Deep, V., Bassamboo, A. and Juneja, S., 2025. Asymptotic optimality theory of confidence intervals of the mean. To appear in AISTATS 2026 (a top conceptual machine learning outlet).
  • Iyer, S.R., Gupta, D., Gupta, R., Mandal, H., Bandyopadhyay, A., Bassamboo, A., Gupta, V., Juneja, S. 2026. Fundamental limits for weighted empirical approximations of exponentially tilted distributions. To appear in AISTATS 2026
  • Mandal, H., Vijayan, S., Improved bounds on optimal exponents in active simple hypothesis testing. Accepted in IEEE ISIT 2026.
  • Aastha Jain · Jatin Batra · Apoorva Narula · Rajeevan Madhavan Nair · Sandeep Juneja. Deep learning for short-range monsoon rainfall forecast using ground truth rainfall data. Neurips 2025 Workshop Tackling Climate Change with Machine Learning. 
  • Pegare, T., Bandyopadhyay, A. and Juneja. S. 2025. Optimal Algorithms for Bandit Learning in Matching Markets. Dynamics at the Frontiers of Optimization, Sampling, and Games – NeurIPS 2025 Workshop
  • Finetuning a Neural Weather Model to India Rainfall Accepted to ACM IKDD CODS 2025 13th International Conference on Data Science AI for Sciences Track Saptarishi Dhanuka, Manmeet Singh, Sandeep Juneja
  • Ahn, D., Juneja, S., Pagare, T. and Samudra, S., 2025, December. Data-Driven Estimation of Tail Probabilities under Varying Distributional Assumptions. In 2025 Winter Simulation Conference (WSC) (pp. 283-294). IEEE.
  • Mandal, H., Gupta, D., Gupta, R., Iyer, S.R., Bandyopadhyay, A., Bassamboo, A., Gupta, V., Juneja, S. 2026. Generating DDPM-based Samples from Exponentially Tilted Distributions. 2025. Arxiv.
  • Deep, Vikas, Achal Bassamboo, and Sandeep Kumar Juneja. “Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing.” Forty-first International Conference on Machine Learning. [link]
  • Bandyopadhyay, Agniv, et al. ‘Optimal Top-Two Method for Best Arm Identification and Fluid Analysis’. Advances in Neural Information Processing Systems, edited by A. Globerson et al., vol. 37, Curran Associates, Inc., 2024, pp. 66568–66646 [link]
  • Hult, Henrik, et al. “A Deep Learning Approach for Rare Event Simulation in Diffusion Processes.” 2024 Winter Simulation Conference (WSC). IEEE, 2024. [link]
  • Bhattacharjee, Anirban, and Sandeep Juneja. “Selecting the Safest Design in Rare Event Settings.” 2024 Winter Simulation Conference (WSC). IEEE, 2024. [link]
  • Foujdar, A., Juneja, S., Kumar, A., Prabhala, N., & Wagle, S. 2025. Portfolio optimization using anomalies: A deep learning approach. Preprint
  • Narula, A., Jain, A., Batra, J., & Juneja, S. (2024). Comparing Skill of Historical Rainfall Data-Based Monsoon Rainfall Prediction in India with NCEP-NWP Forecasts. Focus: Comparing machine learning models trained on historical rainfall data with numerical weather prediction models for monsoon forecasting.[link]
Sticky Button