Becker, Stephen

15 publications

ICML 2025 A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi

UAI 2025 Exploring Exploration in Bayesian Optimization Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi

TMLR 2025 Stochastic Subspace Descent Accelerated via Bi-Fidelity Line Search Nuojin Cheng, Alireza Doostan, Stephen Becker

NeurIPSW 2024 Aligning to What? Limits to RLHF Based Alignment Logan Barnhart, Reza Akbarian Bafghi, Maziar Raissi, Stephen Becker

JMLR 2024 High Probability Convergence Bounds for Non-Convex Stochastic Gradient Descent with Sub-Weibull Noise Liam Madden, Emiliano Dall'Anese, Stephen Becker

ICML 2021 A Sampling-Based Method for Tensor Ring Decomposition Osman Asif Malik, Stephen Becker

NeurIPS 2018 Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch Osman Asif Malik, Stephen Becker

AAAI 2018 Randomized Clustered Nystrom for Large-Scale Kernel Machines Farhad Pourkamali-Anaraki, Stephen Becker, Michael B. Wakin

AAAI 2017 Robust Partially-Compressed Least-Squares Stephen Becker, Ban Kawas, Marek Petrik

COLT 2016 Open Problem: Property Elicitation and Elicitation Complexity Rafael M. Frongillo, Ian A. Kash, Stephen Becker

UAI 2014 A Variational Approach to Stable Principal Component Pursuit Aleksandr Y. Aravkin, Stephen Becker, Volkan Cevher, Peder A. Olsen

NeurIPS 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models Cho-Jui Hsieh, Inderjit S Dhillon, Pradeep K Ravikumar, Stephen Becker, Peder A. Olsen

NeurIPS 2014 Time--Data Tradeoffs by Aggressive Smoothing John J Bruer, Joel A Tropp, Volkan Cevher, Stephen Becker

ICML 2013 Sparse Projections onto the Simplex Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch

NeurIPS 2012 A Quasi-Newton Proximal Splitting Method Stephen Becker, Jalal Fadili