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Pranjal Awasthi

54 papers · 2010–2025 · 9 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Pranjal Awasthi?

7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Aravindan Vijayaraghavan, Sreenivas Gollapudi, Nika Haghtalab 23 papers · 2014–2025 · NeurIPS, COLT, ICML Hide ▲
Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification ICML 2025 Learning Neural Networks with Sparse Activations COLT 2024 ReMI: A Dataset for Reasoning with Multiple Images NeurIPS 2024 Semantic Routing via Autoregressive Modeling NeurIPS 2024 Agnostic Learning of General ReLU Activation Using Gradient Descent ICLR 2023 Open Problem: The Sample Complexity of Multi-Distribution Learning for VC Classes COLT 2023 Beyond GNNs: An Efficient Architecture for Graph Problems AAAI 2022 Congested Bandits: Optimal Routing via Short-term Resets ICML 2022 Do More Negative Samples Necessarily Hurt In Contrastive Learning? ICML 2022 On the benefits of maximum likelihood estimation for Regression and Forecasting ICLR 2022 Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model NeurIPS 2022 Understanding Simultaneous Train and Test Robustness ALT 2022 A Convergence Analysis of Gradient Descent on Graph Neural Networks NeurIPS 2021 Adversarially Robust Low Dimensional Representations COLT 2021 Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations NeurIPS 2021 Adversarial robustness via robust low rank representations NeurIPS 2020 Estimating Principal Components under Adversarial Perturbations COLT 2020 On Robustness to Adversarial Examples and Polynomial Optimization NeurIPS 2019 Clustering Semi-Random Mixtures of Gaussians ICML 2018 Efficient PAC Learning from the Crowd COLT 2017 Learning and 1-bit Compressed Sensing under Asymmetric Noise COLT 2016 Efficient Learning of Linear Separators under Bounded Noise COLT 2015 Learning Mixtures of Ranking Models NeurIPS 2014
8 papers whose co-authors appear nowhere else under this name
Theory and Algorithm for Batch Distribution Drift Problems AISTATS 2023 Semi-supervised Active Linear Regression NeurIPS 2022 Adversarial Robustness Across Representation Spaces CVPR 2021 Neural Active Learning with Performance Guarantees NeurIPS 2021 Crowdsourcing with Arbitrary Adversaries ICML 2018 Robust Vertex Enumeration for Convex Hulls in High Dimensions AISTATS 2018 Learning Using Local Membership Queries COLT 2013 Supervised Clustering NeurIPS 2010

Venues · all papers under this name

NeurIPS (19) ICML (13) COLT (9) AISTATS (5) ALT (3) ICLR (2) AAAI (1) CVPR (1) JMLR (1)