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Takemori, S and Umeda, Y and Gopalan, A (2024) Model-Based Best Arm Identification for Decreasing Bandits. In: 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, 2 May 2024through 4 May 2024, Valencia, pp. 1567-1575.
Karjol, P and Kashyap, R and Gopalan, A and Prathosh, AP (2024) A Unified Framework for Discovering Discrete Symmetries. In: International Conference on Artificial Intelligence and Statistics, AISTATS 2024, 2 May 2024through 4 May 2024, Valencia, pp. 793-801.
Ganesh, S and Deb, R and Thoppe, G and Budhiraja, A (2023) Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis. In: 39th Conference on Uncertainty in Artificial Intelligence, UAI 2023, 31 July - 4 August 2023, Pittsburgh, pp. 602-612.
Sawarni, A and Madhavan, R and Sinha, G and Barman, S (2023) Learning Good Interventions in Causal Graphs via Covering. In: 39th Conference on Uncertainty in Artificial Intelligence, UAI 2023, 31 July - 4 August 2023, Pittsburgh, pp. 1827-1836.
Saxena, N and Khastagir, S and Kolathaya, S and Bhatnagar, S (2023) Off-Policy Average Reward Actor-Critic with Deterministic Policy Search. In: Proceedings of Machine Learning Research, 23 - 29 July 2023, Honolulu, pp. 30130-30203.
Karjol, P and Kashyap, R and Prathosh, AP (2023) Neural Discovery of Permutation Subgroups. In: 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2023, 25 - 27 April 2023, Valencia, pp. 4668-4678.
Dutta, P and Mayilvaghanan, K and Sinha, P and Dukkipati, A (2023) Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain. In: 15th Asian Conference on Machine Learning, ACML 2023, 11 November 2023 through 14 November 2023, Istanbul, pp. 343-358.
Banerjee, D and Ghosh, A and Chowdhury, SR and Gopalan, A (2023) Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference. In: 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2023, 25 - 27 April 2023, Valencia, pp. 8233-8262.
Ranjit, M and Ganapathy, G and Manuel, R and Ganu, T (2023) Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models. In: UNSPECIFIED, pp. 650-666.
Rangwani, H and Mopuri, KR and Babu, RV (2021) Class Balancing GAN with a Classifier in the Loop. In: 37th Conference on Uncertainty in Artificial Intelligence, UAI 2021, 27 - 30 July 2021, pp. 1618-1627.
Bandyopadhyay, S and Peter, V (2021) Unsupervised constrained community detection via self-expressive graph neural network. In: 37th Conference on Uncertainty in Artificial Intelligence, UAI 2021, 1088, pp. 1078-1088.
Paigwar, K and Krishna, L and Tirumala, S and Khetan, N and Sagi, A and Joglekar, A and Bhatnagar, S and Ghosal, A and Amrutur, B and Kolathaya, S (2020) Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach. In: UNSPECIFIED, pp. 2257-2267.
Saha, A and Gopalan, A (2020) Best-item Learning in Random Utility Models with Subset Choices. In: 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26 - 28 August 2020, pp. 4281-4291.
Saha, A (2020) Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling. In: 12th Asian Conference on Machine Learning, ACML 2020, 18 - 20 Nov 2020, Bangkok, pp. 625-640.
Bhattacharyya, A and Ghoshal, S and Saket, R (2018) Hardness of Learning Noisy Halfspaces using Polynomial Thresholds. In: 31st Annual Conference on Learning Theory, COLT 2018, 6 - 9 July 2018, Stockholm, pp. 876-917.
