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Tianbao Yang

Identifiers

  • name variant Tianbao Yang 0.60 · backfill

Papers (68)

  1. Memory-Efficient Continual Learning with CLIP Models cs.LG · 2026 · author #4
  2. A Domain Incremental Continual Learning Benchmark for ICU Time Series Model Transportability cs.LG · 2026 · author #4
  3. Statistical Consistency and Generalization of Contrastive Representation Learning cs.LG · 2026 · author #3
  4. ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold cs.AI · 2026 · author #7
  5. Masked Contrastive Pre-Training Improves Music Audio Key Detection cs.SD · 2026 · author #3
  6. DRTriton: Large-Scale Synthetic Data Driven Reinforcement Learning for Triton Kernel Generation cs.CL · 2026 · author #3
  7. On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Optimization math.OC · 2019 · author #5
  8. Stagewise Training Accelerates Convergence of Testing Error Over SGD stat.ML · 2018 · author #4
  9. Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence math.OC · 2018 · author #5
  10. Frank-Wolfe Method is Automatically Adaptive to Error Bound Condition math.OC · 2018 · author #2
  11. Learning Discriminators as Energy Networks in Adversarial Learning cs.CV · 2018 · author #3
  12. Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number math.OC · 2018 · author #4
  13. A Unified Analysis of Stochastic Momentum Methods for Deep Learning cs.LG · 2018 · author #2
  14. Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions math.OC · 2018 · author #6
  15. Improving Sequential Determinantal Point Processes for Supervised Video Summarization cs.LG · 2018 · author #4
  16. How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization cs.CV · 2018 · author #3
  17. EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching from Scratch cs.NE · 2018 · author #5
  18. An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints cs.NE · 2018 · author #6
  19. Learning with Non-Convex Truncated Losses by SGD cs.LG · 2018 · author #6
  20. Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions stat.ML · 2018 · author #5
  21. NEON+: Accelerated Gradient Methods for Extracting Negative Curvature for Non-Convex Optimization math.OC · 2017 · author #3
  22. First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time math.OC · 2017 · author #3
  23. Stochastic Non-convex Optimization with Strong High Probability Second-order Convergence math.OC · 2017 · author #2
  24. On Noisy Negative Curvature Descent: Competing with Gradient Descent for Faster Non-convex Optimization math.OC · 2017 · author #2
  25. A Simple Analysis for Exp-concave Empirical Minimization with Arbitrary Convex Regularizer stat.ML · 2017 · author #1
  26. SEP-Nets: Small and Effective Pattern Networks cs.CV · 2017 · author #4
  27. Hybrid safe-strong rules for efficient optimization in lasso-type problems stat.ML · 2017 · author #2
  28. Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds cs.LG · 2017 · author #2
  29. Dynamic Regret of Strongly Adaptive Methods cs.LG · 2017 · author #2
  30. Efficient Non-oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee cs.LG · 2016 · author #4
  31. Adaptive Accelerated Gradient Converging Methods under Holderian Error Bound Condition math.OC · 2016 · author #2
  32. Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent cs.DC · 2016 · author #3
  33. Improved Dynamic Regret for Non-degenerate Functions cs.LG · 2016 · author #2
  34. A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates math.OC · 2016 · author #1
  35. Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than $O(1/\epsilon)$ math.OC · 2016 · author #4
  36. Accelerate Stochastic Subgradient Method by Leveraging Local Growth Condition math.OC · 2016 · author #3
  37. Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient cs.LG · 2016 · author #1
  38. Learning Attributes Equals Multi-Source Domain Generalization cs.CV · 2016 · author #2
  39. Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization math.OC · 2016 · author #1
  40. Improved Dropout for Shallow and Deep Learning cs.LG · 2016 · author #3
  41. RSG: Beating Subgradient Method without Smoothness and Strong Convexity math.OC · 2015 · author #1
  42. Sparse Learning for Large-scale and High-dimensional Data: A Randomized Convex-concave Optimization Approach cs.LG · 2015 · author #2
  43. Stochastic Proximal Gradient Descent for Nuclear Norm Regularization cs.LG · 2015 · author #2
  44. Stochastic subGradient Methods with Linear Convergence for Polyhedral Convex Optimization cs.LG · 2015 · author #1
  45. Online Stochastic Linear Optimization under One-bit Feedback cs.LG · 2015 · author #2
  46. Doubly Stochastic Primal-Dual Coordinate Method for Bilinear Saddle-Point Problem cs.LG · 2015 · author #3
  47. Distributed Stochastic Variance Reduced Gradient Methods and A Lower Bound for Communication Complexity math.OC · 2015 · author #4
  48. Fast Sparse Least-Squares Regression with Non-Asymptotic Guarantees math.ST · 2015 · author #1
  49. An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection math.NA · 2015 · author #1
  50. Theory of Dual-sparse Regularized Randomized Reduction cs.LG · 2015 · author #1
  51. Object-centric Sampling for Fine-grained Image Classification cs.CV · 2014 · author #2
  52. A Simple Homotopy Proximal Mapping for Compressive Sensing cs.IT · 2014 · author #1
  53. On Data Preconditioning for Regularized Loss Minimization cs.NA · 2014 · author #1
  54. Analysis of Distributed Stochastic Dual Coordinate Ascent cs.DC · 2013 · author #1
  55. Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections cs.LG · 2013 · author #2
  56. A New Analysis of Compressive Sensing by Stochastic Proximal Gradient Descent cs.DS · 2013 · author #2
  57. O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions cs.LG · 2013 · author #2
  58. Sparse Multiple Kernel Learning with Geometric Convergence Rate cs.LG · 2013 · author #2
  59. Influence Analysis in the Blogosphere cs.SI · 2012 · author #5
  60. Online Stochastic Optimization with Multiple Objectives cs.LG · 2012 · author #2
  61. Recovering the Optimal Solution by Dual Random Projection cs.LG · 2012 · author #4
  62. An Improved Bound for the Nystrom Method for Large Eigengap cs.LG · 2012 · author #2
  63. A Bayesian Framework for Community Detection Integrating Content and Link cs.SI · 2012 · author #1
  64. Efficient Constrained Regret Minimization cs.LG · 2012 · author #2
  65. An Efficient Primal-Dual Prox Method for Non-Smooth Optimization cs.LG · 2012 · author #1
  66. Regret Bound by Variation for Online Convex Optimization cs.LG · 2011 · author #1
  67. Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints cs.LG · 2011 · author #3
  68. Improved Bound for the Nystrom's Method and its Application to Kernel Classification cs.LG · 2011 · author #2

Mentions

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  • 2605.02116 #3 · arxiv_oai · confidence 0.70 Tianbao Yang
  • 2604.13392 #7 · arxiv_oai · confidence 0.70 Tianbao Yang

Frequent Coauthors